Atomic Data Sciencesis in the Business Intelligence Industry

Atomic Data Sciences

Looking for iOS/iPhone development company? It must be not that easy as you expected. I searched for the information from a couple of well-known websites. Have a look at the list of Top iPhone and iOS App Development Companies given below. 1. ScienceSoft (USA, Finland, Belarus) Company size: 500–1000 employees | Year founded: 1989 ScienceSoft develops web, mobile, and desktop applications. The company has been delivering software solutions for enterprise and middle-market customers across multiple target industries. Also, ScienceSoft partnered with Microsoft, IBM, Oracle, Magento, ServiceNow, Episerver and more tech leaders to ensure that our clients will benefit from steady reliability and originality across solutions. ScienceSoft featured on The Silicon Review listing among 10 Fastest Growing Data Analytics Companies. In 2018, ScienceSoft has been featured in a report by Forrester as one of the selected vendors for Application development and delivery services. CRM, Data Analysis, Collaboration & Knowledge Management and Information Security. Services Line: 2. VironIT (USA, United Kingdom, Belarus) Company size: 100–250 employees | Year founded: 2004 VironIT is an international company with experience since 2004, a member of High Tech Park that allows IT entities to take advantage of lower costs or less stringent regulations inside the country. The company provides comprehensive services including development of mobile applications, web-oriented applications, business software solutions, as well as software integration and updating, support, and maintenance of software applications. Feedspot.com included VironIT corporate blog in its Top 50 software development blogs in the world. **Services Line:**Mobile, web, and desktop applications. Blockchain, VR/AR, game development. 3. WillowTree, inc. (USA) Company size: 200–400 employees | Year founded: 2008 WillowTree has launched over 500 applications, websites and bots. Developers teams build software for the world’s leading companies. The company is driven by a goal to amaze their clients by delivering high quality software, and ensuring their projects run smoothly, strategically and predictably. WillowTree is a Top Development Agency in Virginia according to Clutch.co. Also, WillowTree has the highest team satisfaction in the industry, and a growing amount of satisfied clients. Mobile strategy, product design, mobile marketing, web app development. Services Line: 3. Hedgehog Lab (UK, India, USA) Company size: 51–250 employees | Year founded: 2007 Hedgehog lab specializes in multi-platform software and device innovation. The company has also got offices around three continents. The company’s team architects, designs, and develops app solutions that prepare brands for the future of post-PC devices. Hedgehog lab created a series of successful apps for a Norwegian energy company. Designed for both iPhone and iPad, the apps were made to inspire creativity and engagement within key audiences. Workmanship aside, the client also recognized their professionalism and proactive approach. software and applications development Services Line: 4. DOM & TOM (USA) Company size: 51–100 employees | Year founded: 2009 Dom & Tom is a full-service digital agency which offers a range of services which include strategy, user experience, visual design, iOS, Android, web development, and quality assurance, all the way through to website and application deployment and launch. Dom & Tom has developed 400+ web projects and 120 native mobile applications with teams located in New York, Chicago, and Los Angeles. The company’s process begins with an in-depth Research & Planning period, wherein they lay the foundation for each engagement. Android, Artificial Intelligence, Brand Marketing, iOS, iPhone, Mobile, Mobile Apps, Software, UX Design, Virtual Reality,Web Design, Web Development. Services Line: 5. Archtouch (USA, Brazil) Company size: 51–250 employees | Year founded: 2008 An app design & development company which designs and develops apps for iOS, Android, and Xamarin, and bots for conversational platforms like Amazon Alexa and Facebook Messenger. ArcTouch guides clients through the app building process by defining a strategy for the best user experience, planning the visual design, developing and testing the prototype, and ensuring optimization and growth. Xamarin, Blockchain, and Alexa development. Enterprise Mobility Solutions, Staff Augmentation, iOS, iPhone. Services Line: 6. Fueled (USA, UK) Company size: 51–250 employees | Year founded: 2007 Fueled is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning apps and websites. Fueled specializes in designing and developing award-winning mobile apps and websites that are fast, attractive, responsive, and easy to use. iPhone/Android apps, product design, product development, Web Design, venture capital, Digital Product, UI/UX, UI, UX, Technology, Startup, Enterprise, Consumer products, Co-working. Services Line: 7. IntellectSoft (USA, UK, Oslo) Company size: 250–1000 employees | Year founded: 2007 Intellectsoft is a full cycle software consulting & development company that helps global organizations overcome technology challenges of Digital Transformation. The company’s tech portfolio includes Cognitive Computing, Decentralized Applications, Internet of Things, and Augmented Reality solutions for industries ranging from construction to hospitality to insurance. For over 10 years, Intellectsoft has been delivering impactful software solutions to Fortune 500 companies and established brands, including: Eurostar, EY, Universal, Nestle, and Harley Davidson. Mobile and custom software development, Blockchain. Services Line: 8. Ramotion (USA, Ukraine) Company size: 10–49 employees | Year founded: 2009 Ramotion focused on coding custom mobile interfaces, complex UI animations, visual brand identity, and UI/UX design for Fortune 500 companies and growing Silicon Valley startups. The company is number one contributor of Swift on GitHub, 3rd design team on Dribbble. #1 UX/UI and Web team on Bēhance Mobile app development Services Line: 9. Eleks (United States, Japan, Ukraine) Company size: 1200–10000 employees | Year founded: 1991 ELEKS helps clients transform their businesses digitally by providing expert software engineering and consultancy services. Eleks has been working as a software innovation partner to Fortune 500 companies, big enterprises and technology challengers. Software products that the company build help the world’s leading brands transform their businesses, increase their revenues and save up to 40% of the time and operating costs. Custom software development, Cybersecurity, Artificial Intelligence Services Line: 10. Mentormate (United States, Bulgaria, Sweden) Company size: 250–1000 employees | Year founded: 2001 MentorMate meets complex business challenges with native, hybrid and custom software development. With seven offices in Minnesota, Sweden and Bulgaria, the company’s team blend onshore flexibility with offshore economy delivering value for clients near and far. manage all stages of the software lifecycle, including ideation, architecture, design, development and quality assurance. With over 40% of the business in healthcare, Mentormate works confidently across diverse regulatory environments. Web Development, Custom Software Development, Mobile App Development Services Line: 11. Y Media Labs (United States, India) Company size: 250–1000 employees | Year founded: 2008 Y Media Labs is a digital strategy and technology agency focused on innovation. With headquarters in Redwood City, CA and offices in Atlanta, Indianapolis, and New York, the company splits its time between mobile app development, digital strategy, and UI/UX design. Y Media Labs developed mobile apps for financial services both iOS and Android to complement the existing web-based platform. YML combines world-class strategy, creativity and technology to create lasting impact for clients like The Home Depot, PayPal, The North Face, State Farm, First Republic Bank, eBay, and Apple. Mobile App Development, UX/UI Design, Digital Strategy, iPhone. Services Line: 12. Andplus (United States) Company size: 51–200 employees | Year founded: 2009 AndPlus is a Software Product Development Agency that designs and develops some of the world’s most used applications. AndPlus is the top mobile application developer in New England as ranked by Clutch.co. The company utilizes a wide variety of development languages and frameworks in order to build the right software for the problem our clients are trying to solve. Mobile Development, Web Development, UX/UI Design. Services Line: 13. Magora (United kingdom, Australia, Russia) Company size: 50–250 employees | Year founded: 2010 Magora is a team of web and mobile app designers and developers headquatered in London. At Magora there are mobile and web B2B and B2C applications and bespoke software designed. They integrate them into fully-fledged business solutions, establishing a strong online presence for your company and maximizing ROI. Magora team presents sizable portfolios for their priority directions such as Transport & Logistics, Medicine, Real Estate & Property Management and others. Mobile App Development, Custom Software Development, IoT Development. Services Line: 14. Appster (united States, Australia, India) Company size: 250–1000 employees | Year founded: 2011 Appster has offices in San Francisco, Australia, New York, and India. Its a leading company in mobile app development, web development, and custom software development, and their clients include a range of startups, midmarkets, and enterprise companies. Appster worked with the client to develop a sustainability lifestyle app for the iOS platform. Mobile App Development, Web Development, Blockchain, iOS, iPhone. Services Line: 15. Infinium (United States, Croatia, Slovenia) Company size: 50–250 employees | Year founded: 2005 Infium develops and design software for mobile and web. The clients of Infium are large brands, banks, insurance companies, media publishers, mobile carriers and other companies who need professional software solutions. Many awards prove the quality of the company’s work, the experts share their knowledge on the Infium blog, and the company has also a Facebook and Instagram accounts. Mobile App Development, Web Development, UX/UI Design. Services Line: 16. Atomic Object (United States) Company size: 50–250 employees | Year founded: 2001 Atomic Object creates applications for web, mobile, desktop, and devices. We help companies innovate and grow with custom software products that are beautiful, reliable, and easy to use. They can suggest the most value for a customer’s service. The company serves a national base of clients in the countries they have offices — from startups to the Fortune 500. Software Design and Development, Agile Product Development, Embedded Software Development, Custom Software, Mobile App Development, Mobile Applications Services Line: 17. Five (United States, Croatia) Comany size: 50–250 employees | Year founded: 2008 Five is a mobile design and development agency building award-winning digital products that generate returns for clients. Major brands trust with their core mobile products and strategies, including Rosetta Stone, Marriott International, Crestron, AccuWeather, Penguin Random House, Napster, and Choice Hotels. Mobile App Development, UI/UX Design, Mobile and App Marketing Services Line: 18. Table XI (United States) Company size: 50–100 employees | Year founded: 2002 Table XI is a trusted UX software development and design company focused on building web and mobile applications for mid-market companies. They thoroughly vet each new technology before we decide whether it’s right for our clients. The company works on improving relationships with customers. Twice a year, Table XI gathers people in the industry to trade ideas at Ops Conf and WalkShop. And almost monthly, they bring people from all backgrounds to their Chicago office for design thinking and tech-driven events. Web Strategy, Web Development, E-commerce, Data Management, Custom Application Development, Agile Development, Pair-programming, Mobile, Responsive Design, Hosting, Business/technology Consulting, Business Strategy Consulting, UX/Graphic Design. Services Line: 19. ZCO (United States) Company size: 250–1000 employees | Year founded: 1989 Zco Corporation is a trusted custom software development vendor that has built its reputation for excellence over nearly three decades. They’ve created robust software solutions for entrepreneurs, startups, and Fortune 500 companies alike. Zco Corporation offers its clients access to one of the largest teams of engineers, artists, designers, and project managers in the industry. As one of the largest app development companies in the world, Zco’s mission is to provide expert software services. Its powerhouse team was experienced in mobile app development, enterprise software, and animation services. Custom Mobile Application Development, Hybrid App Development, Enterprise Software Solutions, Enterprise Mobility, 3D Animation Services, Mobile Game Development, Augmented Reality, iPhone. Services Line: 20. Raizlabs (United States) Company size: 250–1000 employees | Year founded: 2003 Raizlabs is a technology innovation firm that designs and develops custom apps, web platforms, and other cutting-edge software. The company has been working with wide range of organizations from fast-moving startups to Fortune 500 by solving their most difficult challenges. Raizlabs specializes in iOS, iPhone, and Android and web applications. The company prides itself in design and development of world-class applications. Mobile, Design, Strategy, Web, Android, IoT, Virtual Reality, Artificial Intelligence, Product Management, Usability, Accessibility, Research and Development. Services Line: To summarize the article, I want to say that my intention was to provide you with the list of top iOS and iPhone mobile app developers. It can help you to choose the company you would like to hire to implement your projects.

Top iOS & iPhone Mobile App Development Companies

A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults:References

Authors: (1) JunJie Wee, Department of Mathematics, Michigan State University; (2) Jiahui Chen, Department of Mathematical Sciences, University of Arkansas; (3) Kelin Xia, Division of Mathematical Sciences, School of Physical and Mathematical Sciences Nanyang Technological University & xiakelin@ntu.edu.sg; (4)Guo-Wei Wei, 1Department of Mathematics, Michigan State University, Department of Biochemistry and Molecular Biology, Michigan State University, Department of Electrical and Computer Engineering, Michigan State University & xiakelin@ntu.edu.sg. Table of Links Abstract & Introduction Results Discussion Conclusion Materials and Methods Software and resources, Code and Data Availability Supporting Information, Acknowledgments & References 5 Materials and Methods In this section, we endeavor to elucidate key mathematical and computational foundations that are instrumental for the work presented in this study. Specifically, we delve into spectral graph theory, simplicial complex, and persistent Laplacian methods, highlighting their significance in capturing topological and spectral properties essential for the characterization of proteins. Additionally, we discuss machine learning and deep learning paradigms, focusing on their role in processing, analyzing, and interpreting these complex features, especially within the confines of test datasets and validation settings. 5.1 Persistent Laplacian characterization of proteins A simplicial complex is made up of a set of simplices and generalises beyond graph networks at higher dimensions [44, 45, 46, 47]. Every simplex is a finite set of vertices which can be interpreted as the atoms in a protein structure. Essentially, simplices can be a point (0-simplex), an edge (1-simplex), a triangle (2-simplex), a tetrahedron (3-simplex), or in higher dimensions, a p-simplex. In other words, a k-simplex σ k = {v0, v1, · · · , vk} is the convex hull formed by k + 1 affinely independent points v0, v1, · · · , vk as follows, Simplicial complex A geometric simplicial complex K is a finite set of geometric simplexes that satisfy two essential conditions. First, any face of a simplex from K is also in K. Second, the intersection of any two simplexes in K is either empty or shares faces. Commonly used methods to construct simplicial complexes are Cech complex, Vietoris-Rips complex, Alpha complex, Clique ˇ complex, Cubic complex, and Morse complex [44, 45, 46, 47]. In the case k = 0, then L0 = B1B⊤ 1 since ∂0 is a zero map Persistent Laplacian (PL) were first introduced by integrating graph Laplacian and multiscale filtration [25]. Analyzing the spectra of k-combinatorial Laplacian matrix allows both topological and geometric information (i.e. connectivity and robustness of simple graphs) to be obtained. However, this method is genuinely free of metrics or coordinates, which induced too little topological and geometric information that can be used to describe a single configuration. Persistent Laplacian Therefore, PL was extended to simplicial complexes. This allows a sequence of simplicial complexes from a filtration process to generate persistent Laplacian which is largely inspired by persistent homology and in earlier works in multiscale graphs. For the rest of this section, we introduce mainly on the construction of PL. First, a k-combinatorial Laplacian matrix is symmetric and positive semi-definite. Therefore, its eigenvalues are all real and non-negative. The multiplicity of zero spectra (also called harmonic spectra) reveals the topological information, and the geometric information will be preserved in the non-harmonic spectra. This nested sequence of simplicial complexes induces a family of chain complexes In order to illustrate the difference between PL and PH, Figure 5 describes a point cloud, basic simplices, a filtration process and the comparison between persistent Laplacian and persistent homology barcodes of 13 points. The filtration process in Figure 5(c) shows the different stages of a Rips filtration process for the 13 points. Figure 5(d) shows the persistent homology barcodes (in blue) and persistent non-harmonic spectra (in red). It can be seen that the nonharmonic spectra provides the additional homotopic shape evolution that is missing in persistent homology in the later part of the filtration process. 5.2 Persistent Laplacian descriptors where DE(·, ·) is the Euclidean distance between the two atoms and Loc(·) refers to the atom’s location which is either in the mutation site or in the rest of the protein. Here, we construct two types of simplicial complexes in our PL computation, such as Vietoris-Rips complex (VC) and Alpha complex (AC). Both complexes are used to characterize the first order interactions and higher order patterns respectively. To capture and characterize different types of atomatom interactions, we generate the PL based on different atom subsets by selecting one type of atom in the mutation site and one other atom type in the rest of the protein. Different types of atom-atom interactions characterize the different interactions in proteins. For example, interactions generated from carbon atoms are associated with hydrophobic interactions. Similarly, interactions between nitrogen and oxygen atoms correlate to hydrophilic interactions and/or hydrogen bonds. Both types of interactions are illustrated in Figure 6. Interactive PLs have the capability to unveil additional details about bonding interactions and offer a fresh and distinct representation of molecular interactions in proteins. For zero dimensions, we consider both the harmonic spectra and non-harmonic spectra information for each persistent Laplacian. Filtration using Rips complex with DI distance is used. The 0-dimensional PL features are generated from 0A to 6 ˚ A with 0.5 ˚ A gridsize. For the ˚ non-harmonic spectra information, we count the number of non-harmonic spectra and calculate seven statistical values of non-harmonic spectra such as sum, minimum, maximum, mean, standard deviation, variance and the sum of eigenvalues squared. This generates eight statistical values for each of the nine atomic pairs. Therefore, the dimension of 0-dimensional PL features for a protein is 72. In total, the 0-dimensional PL-based feature size after concatenating features at different dimensions for wild type and mutant is 1872. For one or two dimensions, we perform the filtration using Alpha complex with the DE distance. The limited number of atoms in the local protein structure can create only a few high-dimensional simplexes, resulting in minimal alterations in shape. As a result, it suffice to consider features from only harmonic spectra of persistent Laplacians by coding the topological invariants for the high-dimensional interactions. Using GUDHI[51], the persistence of the harmonic spectra can be represented by persistent barcodes. The topological feature vectors are generated by computing the statistics of bar lengths, births and deaths. Bars shorter than 0.1A are excluded as they do not exhibit any clear physical meaning. The remaining bars are ˚ then used for computing the statistics: (1) sum, maximum and mean for lengths of bars; (2) minimum and maximum for the birth values of bars; (3) minimum and maximum for the death values of bars. Each set of point clouds leads to a seven-dimensional vector. These features are calculated on nine single atomic pairs and one heavy atom pair. The dimension of oneand two-dimensional PL feature vectors for a protein is 140. In total, the higher-dimensional PL-based feature size after concatenating features at different dimensions for wild type, mutant and their difference is 420. 5.3 Persistent Homology Persistent homology is part of the harmonic spectra of PL. The homology groups in PH illustrate the persistence of topological invariants, hence providing the harmonic spectral information in PL. The site- and element-specific PH features are generated in a similar way as compared to PL. Similar to PL, filtration construction is also employed to PH. For the zero dimension, the filtration parameter can be discretized into several equally spaced bins, namely [0, 0.5], (0.5, 1], · · · , (5.5, 6]A. The death value of the bars are summed in each bin resulting in 12 ˚ ×18 features. For each bin, we count the numbers of persistent bars, resulting in a nine-dimensional vector for each point cloud. Similarly, this is performed for each of the nine single atomic pairs. Hence, the dimension of PH features for a protein is 216. For one or two dimensions, the identical featurization from the statistics of persistent bars in PH is used. The PH embedding combines features at different dimensions as described above and concatenated for wild type, mutant and their difference, resulting in a 648-dimensional vector 5.4 Transformer Features Recently, we have seen significant advancements in modelling protein properties using largescale protein transformer models trained on hundreds of millions of sequences. These models, like ESM [33] (evolutionary scale modeling) and ProtTrans[34, 35], have demonstrated impressive performance. Moreover, hybrid fine-tuning approaches that leverage both local and global evolutionary data have proven to enhance these models even further. For instance, eUniRep is an improved LSTM-based UniRep model achieved through fine-tuning with knowledge extracted from local multiple sequence alignments (MSAs). Additionally, the ESM model can be fine-tuned using either downstream task data or local MSAs. In our research, we employed the ESM-1b transformer, a model that falls under the transformer architecture. This particular variant was trained on a dataset of 250 million sequences using a masked filling procedure and boasts an architecture comprising 34 layers with a whopping 650 million parameters. The ESM transformer’s primary role in our work was to generate sequence embeddings. At each layer of the ESM model, it encoded a sequence of length L into a matrix sized at 1,280×L, excluding the start and terminal tokens. For our study, we utilized the sequence representation derived from the final (34th) layer and computed the average along the sequence length axis, resulting in a 1,280-component vector. 5.5 Performance Metrics PPV and NPV assesses the true positive and true negative proportion of the predicted results for each solubility class. PPV and NPV are computed based on TP, TN, FP and FN which represents the true positive, true negative, false positive and false negative values for each solubility class. For each solubility class, PPV and NPV can be computed by: This paper is under CC 4.0 license. available on arxiv

Interrogating TopLabGBT's Computational Framework

223 Stories To Learn About Science

Let's learn about via these 67 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Energy /Learn Repo 1. What Does 50% Electric Cars Mean To The Grid? Is a goal of 50% electric cars in the United States by 2030 a reasonable goal? What is required of the grid to support that? 2. Volcanos and New Proof Methods are great, but Bitcoin's Energy Problem Falls on the Community The environmental cost of blockchain technologies and cryptocurrencies is high, but the answer doesn't only lay with energy production and better proof methods 3. The Story of Nuclear Energy, Volume 1 (of 3): Electricity - Radioactivity Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ELECTRICITY: Radioactivity 4. 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How New Technology is Turning the Global Energy Market Green Blockchain consortium to develop a  energy system to power a fleet of electric vehicles and charging stations in Toronto, Canada. 26. Why Solar Energy is Better than Nuclear Energy Solar and nuclear energy have been pitted against each other for years. Learn the pros and cons of both and see why solar energy could be better. 27. 5 Tips From a Robot on Motivation Need to get more done? Follow these 5 tips from an AI robot to help keep you motivated. 28. Technology in the Oil and Gas Industry: An MLOps Perspective The Oil and gas industry generates an annual revenue that was approximately $3.3 trillion in 2019 and is one of the largest enterprises in the world. Oil and natural gas upstream, midstream and downstream processes constantly generate large amounts of data and is immensely dependent on sophisticated technologies to reveal new insights in the business i.e prevent equipment malfunctioning and improve operational efficiency… 29. The Story of Nuclear Energy, Volume 2 (of 3): Protons in Nuclei Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE STRUCTURE OF THE NUCLEUS: Protons in Nuclei 30. Bitcoin Mining and Traditional Banking Energy Consumption: The Truth Over the years, analysts and environmentalists have constantly called Bitcoin mining an energy-intensive venture. This has brought a continuous spotlight on Bit 31. Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3): INTRODUCTION Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. INTRODUCTION 32. Art for good, but are NFTs the answer or part of the problem? Artists are taking to NFT platforms, but that causes a sustainability dilemma. Could a better mix of technology and circular economy be a better fit? 33. Crypto Energy Consumption: Clean & Green Could Be the Solution For advocates of the widescale adoption of cryptocurrency, there is one major challenge that stands in the way of their dream coming true. Namely, the fact that mining cryptocurrencies require exorbitant — and seemingly wasteful — amounts of energy. 34. The Story of Nuclear Energy, Volume 2 (of 3): The Proton-Neutron Theory Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE NEUTRON: The Proton-Neutron Theory 35. The Story of Nuclear Energy, Volume 2 (of 3): Mass and Energy Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II: MASS AND ENERGY 36. The Story of Nuclear Energy: The Nuclear Bomb Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III, NUCLEAR FISSION: The Nuclear Bomb 37. Understanding Sustainability and Renewable Energy with Taras Vodyanyy This article talks about wind energy and how wind energy can become a major source of renewable energy source. 38. The Story of Nuclear Energy, Volume 1 (of 3): Electricity Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ELECTRICITY: Units of Electricity 39. The Story of Nuclear Energy, Volume 3 (of 3): The Discovery of Fission Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III, NUCLEAR FISSION: The Discovery of Fission 40. Building an Energy Market on the Blockchain: Evaluation, Wireframing, and Implementation Including Solidity smart contracts to get you started. 41. Energy Ideas For A New Decade Ever since I got my first solar-powered LCD watch in the late 1970s, I’ve been a fan of solar power, but what has amazed me in the 40’ish years since then is the rather pathetic advances we’ve made in solar panel efficiency. In 1954 Bell Labs achieved an energy conversion efficiency rate of 6%, then 25 years later we about doubled that, but in the 40 years since, we’ve only really seen another 50% increase to about 19% although more expensive panels can now get you 25%-30% with the super expensive ones that go into space getting nearly 50%. Another problem with solar panels and “green energy” in general is that the ecological impact of the manufacture and disposal of the components has a devastating environmental impact. 42. The Story of Nuclear Energy, Volume 1 (of 3): Atomic Weights Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I: ATOMIC WEIGHTS 43. Tesla Stock Wears A Double Halo (Illustration: Mike Bloom) 44. What You Need to Know About Bitcoin's Energy Usage Learn the truth about Bitcoin’s energy consumption and understand why its environmental impact isn’t as bad you think. 45. What is a BESS (Battery Energy Storage System) and How Does it Work? A BESS is an energy storage system (ESS) that captures energy from different sources, accumulates this energy, and stores it in rechargeable batteries. 46. The Story of Nuclear Energy: Neutron Bombardment Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE NEUTRON: Neutron Bombardment 47. The Story of Nuclear Energy, Volume 1 (of 3): Energy - The Energy of the Sun Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ENERGY: The Energy of the Sun 48. The Structure of the Nucleus: The Proton Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE STRUCTURE OF THE NUCLEUS: The Proton 49. The Story of Nuclear Energy, Volume 2 of 3: Particle Accelerators Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE STRUCTURE OF THE NUCLEUS: Particle Accelerators 50. The Story of Nuclear Energy, Volume 1 (of 3): Electrons and Energy Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ENERGY: Electrons and Energy 51. The Story of Nuclear Energy: Thermonuclear Bombs Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III, NUCLEAR FUSION: Thermonuclear Bombs 52. The Story of Nuclear Energy, Volume 2 (of 3): The Neutron - Nuclear Spin Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE NEUTRON: Nuclear Spin 53. The Story of Nuclear Energy, Volume 1 (of 3): The Energy of Radioactivity Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ENERGY: The Energy of Radioactivity 54. Volume 3: Controlled Fusion Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III, NUCLEAR FUSION: Controlled Fusion 55. Can We Harvest Solar Energy from Space and Beam it Down to Earth? It sounds too good to be true: a plan to harvest solar energy from space and beam it down to Earth using microwaves. 56. The Story of Nuclear Energy: Nuclear Fission | New Elements Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III, NUCLEAR FISSION: New Elements 57.  Volume 1:   Electricity from Isotopes Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ELECTRICITY: Isotopes 58. Bitcoin As Tokenized Oil. The rise of the PetroBitcoin? (An analysis of bitcoin strategies for oil rich and sanctioned countries) 59. The Benefits of Renewable Energy: Why Clean Energy Is Good for Our Health, Environment, and Economy Renewable energy is becoming more and more popular, and for good reason. Not only does renewable energy have a minimal environmental impact, it also provides a number of benefits to our health, environment, and economy. In this page, we will explore the many benefits of renewable energy technologies like wind turbines and solar panels. So read on to learn why clean energy is good for all of us! 60. The Story of Nuclear Energy, Volume 1 (of 3): Electricity - Cathode Rays Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ELECTRICITY: Cathode Rays 61. The Neutron: The Nuclear Interaction Worlds Within Worlds: The Story of Nuclear Energy, Volume 2 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume II, THE NEUTRON: The Nuclear Interaction 62. The Story of Nuclear Energy, Volume 1 (of 3): Energy - Chemical Energy Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ENERGY: Chemical Energy 63. WTF is Power Supply Unit? The Power Supply Unit is the bit of equipment that changes over the force gave from the outlet into usable force for the numerous parts inside the PC case. 64. World Within Worlds: Energy Worlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume I, ENERGY: The Law of Conservation of Energy 65. Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3): READING LIST Worlds Within Worlds: The Story of Nuclear Energy, Volume 3 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. Volume III: READING LIST 66. The Story of Nuclear Energy: Atomic Numbers orlds Within Worlds: The Story of Nuclear Energy, Volume 1 (of 3), by Isaac Asimov is part of HackerNoon’s Book Blog Post series. 67. The New Source of Energy The World Set Free, by H. G. Wells, is part of the HackerNoon Books Series. Thank you for checking out the 67 most read stories about Energy on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

67 Stories To Learn About Energy

Lasers by Hal Hellman, is part of the HackerNoon Books Series. You can jump to any chapter in this book . SUGGESTED REFERENCES here SUGGESTED REFERENCES Books , Allan H. Lytel, Howard W. Sams and Company, Inc., Publishers, Indianapolis, Indiana 46206, 1966, 96 pp., $2.25. ABC’s of Masers and Lasers , Ben Patrusky, Dodd, Mead and Company, New York 10016, 1966, 128 pp., $3.50. The Laser: Light That Never Was Before , Manfred Brotherton, McGraw-Hill Book Company, New York 10036, 1964, 224 pp., $8.50. Masers and Lasers , H. Arthur Klein, J. B. Lippincott Company, Philadelphia, Pennsylvania 19105, 1963, 184 pp., $3.95. Masers and Lasers , John M. Carroll, E. P. Dutton and Company, Inc., New York 10003, 1964, 181 pp., $3.95. The Story of the Laser , John R. Pierce, Doubleday and Company, Inc., New York 10017, 1966, 138 pp., $1.25. Quantum Electronics: The Fundamentals of Transistors and Lasers , Kurt R. Stehling, The World Publishing Company, Cleveland, Ohio 44102, 1966, 192 pp., $6.00. Lasers and Their Applications , Stanley Leinwoll, Hayden Book Companies, New York 10011, 1964, 96 pp., $1.95. Understanding Lasers and Masers , Richard B. Nehrich, Jr., Glenn I. Voran, and Norman F. Dessel, Sterling Publishing Company, Inc., New York 10016, 1967, 136 pp., $3.95. Atomic Light: Lasers Articles—General and Historical Advances in Optical Masers, A. L. Schawlow, , 209: 34 (July 1963). Scientific American The Evolution of the Physicist’s Picture of Matter, P. A. M. Dirac, , 208: 45 (May 1963). Scientific American Filling in the Blanks in the Laser’s Spectrum, F. M. Johnson, , 39: 82 (April 18, 1966). Electronics The Amateur Scientist—How a persevering amateur can build a gas laser in the home, C. L. Stong, , 211: 227 (September 1964). Scientific American The Amateur Scientist—Homemade Laser, C. L. Stong, , 213: 108 (December 1965). Scientific American The Amateur Scientist—How to make holograms and experiment with them or with ready-made holograms, C. L. Stong, , 216: 122 (February 1967). Scientific American The Maser, James P. Gordon, , 199: 42 (December 1958). Scientific American The Quantum Theory: Early Years to 1923, Karl Darrow, , 186: 47 (March 1952). Scientific American Laser’s Bright Magic, T. Meloy, , 130: 858 (December 1966). National Geographic Magazine Infrared and Optical Masers (original paper), A. L. Schawlow and C. H. Townes, , 112: 1940 (December 15, 1958). Physical Review Laser Market Enters Era of Practicality, W. Mathews, , 11: 1 (April 18, 1966). Electronic News Lasers, A. K. Levine, , 51: 14 (March 1963).Lasers, A. L. Schawlow, , 149: 13 (July 2, 1965). American Scientist Science Lasers and Coherent Light, A. L. Schawlow, , 17: 28 (January 1964). Physics Today The Laser’s Dazzling Future, L. Lessing, , 67: 138 (June 1963). Fortune Optical Masers, A. L. Schawlow, , 204: 52 (June 1961). Scientific American Optical Pumping, A. L. Bloom, , 202: 72 (October 1960). Scientific American Research on Maser-Laser Principle Wins Nobel Prize in Physics, J. P. Gordon, , 146: 897 (November 13, 1964). Science Resource Letter MOP-1 on Masers (Microwave through Optical) and on Optical Pumping, H. W. Moos, , 32: 589 (August 1964), extensive bibliography. Available from American Institute of Physics, 335 East 45th Street, New York 10017. Enclose stamped return envelope. American Journal of Physics Advances in Holography, K. S. Pennington, , 218: 40 (February 1968). Scientific American Applications of Laser Light, D. R. Herriott, , 219: 140 (September 1968). Scientific American Holography for the Sophomore Laboratory, R. H. Webb, , 36: 62 (January 1968). American Journal of Physics Laser Light, A. L. Schawlow, , 219: 120 (September 1968).The Modulation of Laser Light, D. F. Nelson, , 218: 17 (June 1968). Scientific American Scientific American Articles—Special Subjects Biological Effects of High Peak Power Radiation, S. Fine et al., , 3: 209 (1964). Life Sciences The Interaction of Light with Light, J. A. Giordmaine, , 210: 38 (April 1964). Scientific American Chemical Lasers, George C. Pimental, , 214: 32 (April 1966). Scientific American Color Laser Stores Data, J. Eberhart, , 90: 51 (July 23, 1966). Science News Communication by Laser, Stewart E. Miller, , 214: 19 (January 1966). Scientific American Guidelines for Selecting Laser Materials, R. H. Hoskins, , 13: 29 (July 19, 1965). Electronic Design M Holography: The Picture Looks Good, J. Blum, , 39: 139 (April 18, 1966). Electronics How Dangerous Are Lasers?, L. H. Dulberger, , 35: 27 (January 26, 1962). Electronics Injection Lasers, R. W. Keyes, , 6: 46 (October 1964). Industrial Research Laser Potential in Deep-Space Link Grows, B. Miller, , 84: 71 (January 31, 1966). Aviation Week and Space Technology Laser Retinal Photocoagulator, N. S. Kapany et al., , 4: 517 (May 1965). Applied Optics Laser Welding in Electronic Circuit Fabrication, J. P. Epperson, (EDN), 10: 8 (October 1965). Electrical Design News The Light That Slices Inch into Millionths, (use of interferometry in industry), , 158: 38 (February 28, 1966). Steel The Optical Heterodyne—Key to Advanced Space Signaling, S. Jacobs, , 36: 29 (July 12, 1963). Electronics Photography by Laser, E. N. Leith and J. Upatnieks, , 212: 24 (June 1965). Scientific American Liquid Lasers, Alexander Lempicki and Harold Samelson, , 216: 81 (June 1967). Scientific American Plasma Experiments with a 570-kJ Theta-Pinch, F. C. Yahoda, et al., , 35: 2351 (August 1964). Journal of Applied Physics A Sun-Pumped CW One-Watt Laser, C. G. Young, , 5: 993 (June 1966). Applied Optics 3-D Image Made at Home, , 90: 185 (10 September 1966). Science News Scanning with Lasers, Robert A. Myers, , 65: 40 (May 1967). International Science and Technology Booklets , The Perkin-Elmer Corporation, Norwalk, Connecticut 06852, 1966, 32 pp., free. Reprint of five talks given by company personnel. , Airborne Instruments Laboratory, Division of Cutler-Hammer, Inc., Deer Park, Long Island, New York 11729, 1965, 20 pp., free. Collection of article reprints. , Bell Telephone Laboratories, Murray Hill, New Jersey 07971, 19 pp., free. Full color, nontechnical brochure presents some background, principles, and applications of the laser. Applications of Lasers to Information Handling Laser Interferometer Laser: The New Light Argon laser, which emits high-power blue-green beam continuously, has application in signal processing, communications, and spectroscopy. This unit is being beamed through prisms that separate its several discrete wavelengths of light, displayed on card at left foreground. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Hal Hellman (2021). Laser. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/65512/pg65512-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

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Logic as the Essence of Philosophy

“If you can look into the seeds of time, and say which grain will grow and which will not speak then unto me.” -William Shakespeare If you have your ear to the ground tech-wise you'll know that four pieces of tech have been making huge rotations -Blockchain, AI, IoT, and Quantum computers. In this article, we're going to be talking about quantum computers, what they mean, how they work, how they will be used, and where they are right now. Photo credits: IBM What are Quantum Computers? According to , quantum computers are devices that harness the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations. Wikipedia To fully understand quantum computers you must understand quantum physics(at least a watered-down version of it 😅). I tried to use as many simple words as possible, but If at any point in time during my explanations you don't understand anything remember this quote by , the father of quantum computers - . Richard Feynman "If anyone tells you they understand quantum mechanics then they don't understand quantum mechanics" In essence, no one understands quantum physics, even the pioneers. Quantum physics is physics that deals with the behaviour and interaction of particles (i.e protons, electrons etc) in the quantum realm and how they affect our physical world. Now when the concepts of quantum physics are used to manipulate particles to perform computation, quantum computation comes about and this then brings about quantum computers. In simple words, quantum computers are computers that make use of quantum physics concepts to process data and output it as information the same way normal computers work but with atomic particles. How do Quantum Computers Work? photo credits: IBM To fully understand how quantum computers work and perform processing, you must first understand how classical computers process data. Classical computers process data through binary (i.e 0s and 1s, on or off), these 0s and 1s are designed and implemented into something called which are at the core just simple rules which guide the use of 0s and 1s to process data. logic gates Now for a computer to physically process data they make use of things called , transistors are just the physical implementation of a lot of logic gates that are designed to perform the processing of commands/data. transistors For instance, you have a doorbell, the circuit which helps the doorbell work is made of a bunch of transistors that are arranged (designed) in such a way that once you ring a doorbell the sound is then played for people to hear. Now the relationship between transistors and logic gates is at the core similar to a sketch by a sculptor before he starts to sculpt. So logic gates are just like a way to sketch out how transistors will be arranged in a system(like a computer, phone, watch, camera, etc) and then the transistors designed are then implemented in the physical system(computer, phone, watch, camera, etc) using transistors. Now at the core, Quantum Computers work in a somewhat similar way to normal/classical computers. but instead of using binary (0s and 1s) as normal computers do, they make use of something called Qubits, Qubits are just like bits(these are 0s and 1s) are for normal computers. I'm going to explain Quibits using an analogy, normal computer's bits(0s and 1s) are like a coin with 2 faces with 0 being one face(maybe heads) and 1 being another face(maybe tails), now when a computer processes data imagine the coming being tossed and it can land on either heads(0) or tails(1) and that is how in non-esoteric terms how classical computers work. Now for quantum computers, imagine instead of having 0s (heads) and 1s(tails) the Qubit is both a 0 and 1 at the same time (weird? I know😅), So where a normal computer has 2 bits (0s and 1s) a quantum computer has one bit which can do the job of both 0s and 1s because it can be both of them at the same time. Remember our earlier definition of quantum computers where I said . quantum computers are computers that process data by manipulating quantum particles using concepts from quantum physics Now quantum computers can be both 0s and 1s at the same time due to a concept in quantum physics called , this is a notion that tiny objects can exist in multiple places or states simultaneously. This might be a bit complex or at most scary but it explains how a qubit can be both a 0 and 1 at the same time. superposition Going back to our earlier coin analogy, where a classical computer's bits are like a coin with 2 faces, each representing one bit(0 and 1). A quantum computer is like a coin that is spinning. It is both faces of the coin (0 and 1) at the same time. Now quantum computers are not made up of monitors, keyboards, etc so it doesn't process data the way a normal computer does but rather it works like this - a problem is given to a quantum computer and then the same way normal computers design logic gates to process data the quantum computer designs logic gates suited to the problem and then it implements qubits which are then used to solve the problem. To know more about Quantum Logic gates, read this article Challenges Facing Quantum Computers Photo credits: IBM Algorithms For quantum computers or computation of any sort to succeed, algorithms are needed. Algorithms are simply a set of rules which are followed for something to be achieved. Quantum computers are slated to be faster at solving real-life problems than supercomputers ever will be, but for them to solve these said problems they need algorithms and these currently are in short supply because of how complex quantum computers are. But slowly we are getting there, research is going on for algorithms that can be optimized on quantum computers. Stabilizing and Scaling For quantum computers to achieve their goals efficiently you need a lot of qubits. But for qubits to work efficiently you need them to be in a constant state but freezing them in this state requires a lot of resources and therefore it is extremely resource-intensive, now imagine, for you to solve a large computing-intensive task which quantum computers are optimized for have to build and maintain thousands of qubits. superposition Fortunately, research on stabilizing qubits(quantum bits ) is progressing, to know about the current state of this research, read . this article Spooky Nature For quantum computers to go mainstream i.e for quantum computers to achieve the large goals which it is being slated to solve like efficient weather forecasting, space exploration, atomic particle modelling, data simulation etc people have to build algorithms for it. For people to build algorithms for quantum computers then people have to understand how quantum computers work but the thing is quantum computers are built on quantum mechanical concepts and understanding quantum mechanical concepts isn't exactly like reciting your ABCs. Fortunately, people are becoming more aware of quantum computers so gradually it is expected that information and tutorials on quantum computers will go mainstream. Companies Involved in Quantum Computing SOURCE: zdnet Atom Computing is a quantum computing hardware company specializing in neutral atom quantum computers. Atom Computing While it is currently prototyping its first offerings, Atom Computing said it will provide cloud access "to large numbers of very coherent qubits by optically trapping and addressing individual atoms," said Ben Bloom, founder and CEO. The company also builds and creates "complicated hardware control systems for use in the academic community,'' Bloom said. Xanadu Xanadu is a Canadian quantum technology company with the mission to build quantum computers that are useful and available to people everywhere. Founded in 2016, Xanadu is building toward a universal quantum computer using silicon photonic hardware, according to Sepehr Taghavi, corporate development manager. The company also provides users access to near-term quantum devices through its Xanadu Quantum Cloud (XQC) service. The company also leads the development of PennyLane, an open-source software library for quantum machine learning and application development, Taghavi said. IBM In 2016, IBM was the first company to put a quantum computer on the cloud. The company has since built up an active community of more than 260,000 registered users, who run more than one billion every day on real hardware and simulators. In 2017, IBM was the first company to offer universal quantum computing systems via the IBM Q Network. The network now includes more than 125 organizations, including Fortune 500s, startups, research labs, and education institutions. Partners include Daimler AG, JPMorgan Chase, and ExxonMobil. All use IBM's most advanced quantum computers to simulate new materials for batteries, model portfolios and financial risk, and simulate chemistry for new energy technologies, the company said. By 2023, IBM scientists will deliver a quantum computer with a 1,121-qubit processor, inside a 10-foot tall "super-fridge" that will be online and capable of delivering a Quantum Advantage -- the point where certain information processing tasks can be performed more efficiently or cost-effectively on a quantum computer, versus a classical one, according to the company. ColdQuanta ColdQuanta commercializes quantum atomics, which it said is "the next wave of the information age." The company's Quantum Core technology is based on ultra-cold atoms cooled to a temperature of nearly absolute zero; lasers manipulate and control the atoms with extreme precision. The company manufactures components, instruments, and turnkey systems that address a broad spectrum of applications: quantum computing, timekeeping, navigation, radiofrequency sensors, and quantum communications. It also develops interface software. ColdQuanta's global customers include major commercial and defense companies; all branches of the US Department of Defense; national labs operated by the Department of Energy; NASA; NIST; and major universities, the company said. In April 2020, ColdQuanta was selected by the (DARPA) to develop a scalable, cold-atom-based quantum computing hardware and software platform that can demonstrate quantum advantage on real-world problems. Defense Advanced Research Projects Agency Zapata Computing empowers enterprise teams to accelerate quantum solutions and capabilities. It introduced , an end-to-end, workflow-based toolset for quantum computing. Zapata Computing Orquestra In addition to previously available backends that include a full range of simulators and classical resources, Orquestra now integrates with Qiskit and IBM Quantum's open quantum systems, Honeywell's System Model HØ, and Amazon Braket, the company said. The Orquestra workflow platform provides access to Honeywell's HØ, and was designed to enable teams to compose, run, and analyze complex, quantum-enabled workflows and challenging computational solutions at scale, Zapata said. Orquestra is purpose-built for quantum machine learning, optimization, and simulation problems across industries. Azure Quantum Recently introduced Azure Quantum provides a "one-stop-shop" to create a path to scalable quantum computing, Microsoft said. It is available in preview to select customers and partners through Azure. For developers, Azure Quantum offers: An open ecosystem that enables access to diverse quantum software, hardware, and offerings from Microsoft and it partners: 1QBit, Honeywell, IonQ, and QCI. A scalable, and secure platform that will continue to adapt to our rapidly evolving quantum future. An ability to have a quantum impact today with pre-built applications that run on classical computers -- which Microsoft refers to as "quantum-inspired solutions." D-Wave Founded in 1999, claims to be the first company to sell a commercial quantum computer, in 2011, and the first to give developers real-time cloud access to quantum processors with , its quantum cloud service. D-Wave Leap D-Wave's approach to quantum computing, known as quantum annealing, is best suited to optimization tasks in fields such as AI, logistics, cybersecurity, financial modelling, fault detection, materials sciences, and more. More than 250 early quantum applications have been built to date using D-Wave's technology, the company said. The company has seen a lot of momentum in 2020. In February, D-Wave announced the launch of , which introduced new tools and features designed to make it easier for developers to build bigger applications. In July, the company expanded access to Leap to India and Australia. Leap 2 In March, D-Wave opened free access to Leap for researchers working on responses to the COVID-19 pandemic. In September, the company launched Advantage, a quantum system designed for business. Advantage has more than 5,000 qubits, 15-way qubit connectivity, and an expanded hybrid solver service to run problems with up to one million variables, D-Wave said. The advantage is accessible through Leap. Strangeworks , a startup based in Austin, Texas, claims to be lowering the barrier to entry into quantum computing by providing tools for development on all quantum hardware and software platforms. Strangeworks launched in March 2018, and one year later, deployed a beta version of its software platform to users from more than 140 different organizations. Strangeworks Strangeworks will open its initial offering of the platform in Q1 2021, and the enterprise edition is coming in late 2021, according to Steve Gibson, chief strategy officer. The Strangeworks Quantum Computing platform provides tools to access and program quantum computing devices. The Strangeworks IDE is platform-agnostic, and integrates all hardware, software frameworks, and supporting languages, the company said. To facilitate this goal, Strangeworks manages assembly, integrations, and product updates. Users can share their work privately with collaborators, or publicly. Users' work belongs to them and open sourcing is not required to utilize the Strangeworks platform. Summary Quantum Computing is still a relatively young field open for innovation and new ideas. It's also pretty fascinating once you understand the definition of most of its core concepts like , etc. superposition entanglement Quantum computers are still a relatively theoretical field as it hasn't yet started achieving all which it's slated to achieve but it is going to be the future of computing, when is the question. Co-published here: https://edemgold.blog/quantum-computers-in-a-nutshell

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