REVIEW 5 cited by
Efficient simulation of Clifford circuits with small Markovian errors
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Efficient simulation of Clifford circuits with small Markovian errors
read the original abstract
Classical simulation of noisy quantum circuits is essential for understanding quantum computing experiments. It enables scalable error characterization, analysis of how noise impacts quantum algorithms, and optimized implementations of quantum error correction. However, most existing efficient simulation techniques can only simulate the effects of stochastic (incoherent) noise. The lack of efficient ways to simulate coherent errors, which are common and significant in contemporary quantum computing systems, has frustrated research. We remedy this gap by introducing an efficient algorithm for approximate simulation of Clifford circuits with arbitrary small errors (including coherent errors) that can be described by sparse $n$-qubit Lindbladians. We use this algorithm to study the impact of coherent errors on syndrome extract circuits for distance-3, 5, 7, 9, and 11 rotated surface codes, and on deep random 225-qubit circuits containing over a million gates.
Forward citations
Cited by 5 Pith papers
-
Symmetries of Pauli Noise from Lindbladian Dynamics
Lindbladian perturbation theory reveals approximate symmetries on Pauli fidelities for Clifford gates, with only restricted off-diagonal dissipative errors breaking them at first order, enabling gauge fixing for SPAM ...
-
QMCtwin: Master-Equation Simulation of Syndrome Statistics Beyond Pauli Noise
QMCtwin simulates master-equation syndrome statistics for a distance-7 surface code and reveals biases and correlations absent in Pauli-twirled models.
-
Scalable linearized gate set tomography
Linearized gate set tomography scales error characterization to many qubits via sparse models, linear fitting, and shallow circuits, with simulations showing accuracy on 10-qubit systems including crosstalk.
-
Plaquette: A hardware-aware design platform for fault-tolerant quantum computers
Plaquette compiles realistic quantum hardware noise models into multiple sampler representations, showing that Pauli-twirled approximations can misestimate logical error rates by an order of magnitude compared to leak...
-
Continuous Noise Model for Quantum Circuits
Continuous coherent noise modeled via von Mises-Fisher rotations degrades logical performance in quantum error-correcting codes more than equivalent Pauli noise.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.