Theoretical physicists said we could teleport data. I wanted to see if we could hold it long enough to actually use it. Everyone in the blockchain space wants a “Quantum Oracle.” The dream is simple: a system that allows a smart contract on Ethereum to request a calculation from a Quantum Computer, get the result, and verify it cryptographically. But there is a fatal flaw in this dream that most whitepapers ignore: The Speed Mismatch. The Speed Mismatch. Blockchains are slow. A transaction takes seconds or minutes to finalize. Quantum computers are fast. A qubit’s memory (coherence time) lasts only about 100 microseconds before it decays into random noise. This creates a “disconnect.” If a smart contract asks for data, the quantum state will dissolve and die long before the blockchain is ready to receive it. It is like trying to pour a gallon of water into a thimble — it just spills everywhere. I realized that if we ever want a functional Quantum Notary, we don’t need better qubits. We need a Parking Brake. Parking Brake. The Engineering Challenge: Building an Async Adapter I didn’t invent quantum teleportation, and I didn’t invent the blockchain. My goal was to build the Middleware that allows them to talk to each other. Middleware I call this the “Async Adapter.” “Async Adapter.” The goal was to create a script that could: Generate a specific quantum state (the “contract”).
Teleport it off the main processor to a “storage” qubit (the “Grid”).
Hold it there — keeping it alive past its natural expiration date.
Retrieve it only when verified. Generate a specific quantum state (the “contract”). Generate Teleport it off the main processor to a “storage” qubit (the “Grid”). Teleport Hold it there — keeping it alive past its natural expiration date. Hold Retrieve it only when verified. Retrieve To prove this was possible, I turned to the IBM Quantum Cloud and their latest Heron processor (ibm_fez). ibm_fez The Solution: Active Preservation (The Hahn Echo) In my initial tests, simply moving the data to storage wasn’t enough. The magnetic noise of the environment killed the qubit in about 90 to 100 microseconds. That is the hardware limit. To break this limit, I implemented a technique from the 1950s called the Hahn Echo, but I applied it inside a modern Dynamic Circuit. Hahn Echo Dynamic Circuit Think of a qubit like a spinning top. If you leave it on a table, friction slows it down and it falls over. But if you reach in halfway through the spin and “slap” it in the reverse direction, you can effectively cancel out the friction. I wrote a script that: Teleports the data to Qubit 2 (The Grid).
Waits for a specific delay (e.g., 75 microseconds).
Applies an X gate (the "slap") to flip the qubit.
Waits another 75 microseconds.
Flips it back. Teleports the data to Qubit 2 (The Grid). Waits for a specific delay (e.g., 75 microseconds). Applies an X gate (the "slap") to flip the qubit. X Waits another 75 microseconds. Flips it back. By doing this, I forced the environmental noise to cancel itself out. I wasn’t just storing data; I was putting it on “Life Support.” The Results: Beating the Hardware Limit I ran a stress test on the ibm_fez backend to see if this architecture could actually extend the life of the data. ibm_fez The results were definitive. At 0 microseconds (Baseline): The system had 91.0% fidelity. This is our “perfect” score.
At 50 microseconds: We retained 77.9% fidelity.
At 150 microseconds: We retained 61.9% fidelity. At 0 microseconds (Baseline): The system had 91.0% fidelity. This is our “perfect” score. At 0 microseconds (Baseline): 91.0% At 50 microseconds: We retained 77.9% fidelity. At 50 microseconds: 77.9% At 150 microseconds: We retained 61.9% fidelity. At 150 microseconds: 61.9% This is the breakthrough. The natural “death” of a qubit on this chip usually happens around 100 microseconds. By using my active Echo protocol, I successfully retrieved a recognizable signal at 150 microseconds. This is the breakthrough. 150 microseconds I extended the validity window of the data by roughly 50% beyond the hardware’s natural limit. 50% beyond the hardware’s natural limit. Why This Matters for Web3 To a human, 150 microseconds is nothing. But to a computer engineer, that extra time is the difference between a “glitch” and a “feature.” That extra 50% is the buffer zone. It proves that we can engineer a system where a quantum state is held in Escrow — parked safely on a Grid qubit, actively stabilized by software, waiting for the verification logic to complete. Escrow I have effectively built a prototype for Quantum RAM. Quantum RAM This validates the core thesis of my Quantum Notary concept: We don’t need to wait for “perfect” quantum computers to build Web3 Oracles. We just need better driver software that manages the chaos of the noise. Open Source and Future Work I am not hoarding this code. I believe this “Time Bridge” architecture is public infrastructure. The code verifies that we can utilize mid-circuit measurements and dynamic resets to create a “Swap Space” for quantum information. You can find the full repository on my GitHub. I encourage other developers to take this “Memory Buffer” and integrate it into their own Oracle designs. We have the ink (Qubits). Now we finally have the pen. Want to see the proof? Here is the GitHub with the Notebook in it: https://github.com/damianwgriggs/Quantum-Notary-/blob/main/Quantum_Notary_Experiment.ipynb https://github.com/damianwgriggs/Quantum-Notary-/blob/main/Quantum_Notary_Experiment.ipynb https://github.com/damianwgriggs/Quantum-Notary-/blob/main/Quantum_Notary_Experiment.ipynb

Quantum Oracles Have a Fatal Timing Problem — So I Built a “Parking Brake” for Qubits

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