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20102026
most citedRestricted-Boltzmann-Machine Learning for Solving Strongly Correlated Quantum Systems

341 citations · 778 across the 15 of their papers we have counts for

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14 papers · 1 filter

quant-ph2026

Classical simulation of coherent crosstalk in surface codes

Andrew S. Darmawan, Yelyzaveta Kolesnyk, Robert Koenig

We give a polynomial-time classical algorithm which samples from the syndrome distribution of a surface code state corrupted by coherent nearest-neighbor crosstalk. Our algori…

quant-ph2024★ 2 cited

On Computational Complexity of Unitary and State Design Properties

Yoshifumi Nakata, Yuki Takeuchi, Martin Kliesch +1

We investigate unitary and state -designs from a computational complexity perspective. First, we address the problems of computing frame potentials that characterize (approximat…

quant-ph2024★ 1 cited

Optimal adaptation of surface-code decoders to local noise

Andrew S. Darmawan

Information obtained from noise characterization of a quantum device can be used in classical decoding algorithms to improve the performance of quantum error-correcting codes. Focu…

quant-ph2023★ 1 cited

Efficient Simulation of Leakage Errors in Quantum Error Correcting Codes Using Tensor Network Methods

Hidetaka Manabe, Yasunari Suzuki, Andrew S. Darmawan

Leakage errors, in which a qubit is excited to a level outside the qubit subspace, represent a significant obstacle in the development of robust quantum computers. We present a com…

quant-ph2022★ 7 cited

Low-depth random Clifford circuits for quantum coding against Pauli noise using a tensor-network decoder

Andrew S. Darmawan, Yoshifumi Nakata, Shiro Tamiya +1

Recent work [M. J. Gullans et al., Physical Review X, 11(3):031066 (2021)] has shown that quantum error correcting codes defined by random Clifford encoding circuits can achieve a…

quant-ph2021★ 23 cited

High-Fidelity Magic-State Preparation with a Biased-Noise Architecture

Shraddha Singh, Andrew S. Darmawan, Benjamin J. Brown +1

Magic state distillation is a resource intensive subroutine that consumes noisy input states to produce high-fidelity resource states that are used to perform logical operations in…