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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.

Presenters

  • Nadine Meister

    Harvard University

Authors

  • Nadine Meister

    Harvard University

  • Madelyn Cain

    Harvard University

  • Chen Zhao

    Harvard

  • Hengyun Zhou

    Harvard University & QuEra Computing

  • Pablo Bonilla Ataides

    Harvard

  • Dolev Bluvstein

    Harvard University

  • Mikhail D Lukin

    Harvard University