Correlated decoding of logical algorithms with transversal gates
ORAL
Abstract
Quantum error correction is essential to perform reliable quantum computation at scale. Recent experiments have realized error-corrected quantum algorithms on a multi-qubit logical processor, crucially relying on the use of transversal gates. Here we show that the performance of algorithms with transversal gates can be substantially improved by accounting for physical error propagation during transversal gates and decoding the logical qubits jointly. We find that this correlated decoding significantly improves the performance of both Clifford and non-Clifford transversal entangling gates, and we explore two decoders offering different computational runtimes and accuracies. We then apply correlated decoding to deep logical circuits with noisy syndrome extraction and find that both the logical error rate and the spacetime overhead can be significantly reduced by utilizing this technique to reduce the number of rounds of noisy syndrome extraction per gate. This correlated decoding technique offers key advantages in early fault-tolerant computation, as well as the possibility for reduction in the spacetime cost of logical algorithms.
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Presenters
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Nadine Meister
Harvard University
Authors
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Nadine Meister
Harvard University
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Madelyn Cain
Harvard University
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Chen Zhao
Harvard
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Hengyun Zhou
Harvard University & QuEra Computing
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Pablo Bonilla Ataides
Harvard
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Dolev Bluvstein
Harvard University
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Mikhail D Lukin
Harvard University