Error correction benchmarks
Score the error-corrected layer: how fast logical errors fall as codes scale, what logical qubits and fault-tolerant primitives cost, and whether decoders keep up.
-
Single-number score for error-corrected quantum memories: how many times longer the logical qubit keeps quantum information than the best uncorrected element in the same device, with G = 1 the break-even point.
-
Suite of Stim-generated syndrome traces for scoring classical QEC decoders on accuracy and latency across surface, color, and bivariate-bicycle codes plus lattice surgery.
-
The factor by which logical error per QEC cycle drops when code distance rises by two; Λ > 1 certifies below-threshold operation, and Λ anchors Google's error-correction roadmap.
-
Suite of 160+ algorithm instances compiled into Clifford+T and Pauli-based computation forms to score fault-tolerant resource costs for surface-code and qLDPC architectures.
-
Stim-based suite that scores logical error rates of surface-code Clifford primitives (memory, lattice surgery, transversal Hadamard, and the S gate) under hardware-motivated biased noise.
-
The headline figure of QEC memory experiments: the probability per round of error correction that the decoded logical qubit suffers a logical flip.
-
Proposed protocols that estimate the infidelity of a prepared logical magic state to multiplicative precision using only fault-tolerantly implementable Clifford operations.
-
Randomized benchmarking lifted to the logical layer: random logical Clifford sequences with QEC cycles interleaved yield an average error per logical gate of an encoded qubit.
-
Proposed fault-tolerant throughput metric that scores logical operations per second with the classical decoder's accuracy, throughput, and latency folded in.
-
Microsoft's proposed FLOPS analogue for fault-tolerant quantum computers: logical qubits times logical clock frequency, qualified by a maximum tolerable logical error rate.
-
The dual of the QEC memory experiment: instead of preserving a logical observable over time, it scores how well syndrome extraction and the decoder determine a product of stabilizers across space.
-
Projected number of physical qubits per logical qubit a QEC code needs, at a stated physical error rate, to reach a one-in-a-trillion logical error rate, extrapolated from simulation rather than measured on hardware.