Partial Syndrome Measurement for Hypergraph Product Codes
Noah Berthusen, Daniel Gottesman

TL;DR
This paper proposes a fault-tolerance scheme for hypergraph product codes that reduces nonlocal connections by selectively measuring generators, demonstrating threshold existence and exponential error suppression even with partial measurements.
Contribution
It introduces a novel partial syndrome measurement scheme for hypergraph codes, improving fault-tolerance with less frequent nonlocal measurements and analyzing its threshold behavior.
Findings
Threshold exists when a high percentage of generators are measured.
Logical error rate is exponentially suppressed with partial measurements.
Scheme reduces nonlocality in quantum code implementations.
Abstract
Hypergraph product codes are a promising avenue to achieving fault-tolerant quantum computation with constant overhead. When embedding these and other constant-rate qLDPC codes into 2D, a significant number of nonlocal connections are required, posing difficulties for some quantum computing architectures. In this work, we introduce a fault-tolerance scheme that aims to alleviate the effects of implementing this nonlocality by measuring generators acting on spatially distant qubits less frequently than those which do not. We investigate the performance of a simplified version of this scheme, where the measured generators are randomly selected. When applied to hypergraph product codes and a modified small-set-flip decoding algorithm, we prove that for a sufficiently high percentage of generators being measured, a threshold still exists. We also find numerical evidence that the logical…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Low-power high-performance VLSI design · Radiation Effects in Electronics
