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Recovery With Incomplete Knowledge: Fundamental Bounds on Real-Time Quantum Memories
Arshag Danageozian·August 8, 2022·DOI: 10.22331/q-2023-12-04-1195
PhysicsComputer Science
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Abstract
Noise drift in quantum hardware is an important obstacle for scalable quantum computation, e.g. when performing complex quantum algorithms with runtimes exeeding the characteristic time of the noise drift. I address this problem by proposing drift-adaptive quantum error correction, and prove metrological bounds in its operation fidelity.