activity
20232026
most citedHardness of classically sampling quantum chemistry circuits

1 citations · 2 across the 6 of their papers we have counts for

collaborators

12 papers

hep-lat2026

Arbitrary-Distance Quantum Error Correction with Gauss's Law for Lattice Gauge Theory

Neel S. Modi, Lento Nagano, Masazumi Honda +2

It has previously been shown by Rajput, Roggero, and Wiebe that Gauss's law constraints can be used to build efficient quantum error-correcting codes (QECCs) that are…

quant-ph2026

Quantum advantages for syndrome-aware noisy logical observable estimation

Kento Tsubouchi, Hyukgun Kwon, Liang Jiang +1

Recent progress in fault-tolerant quantum computing suggests that leveraging error-syndrome information at the logical layer can substantially improve performance, including the es…

quant-ph2026

Simple, Efficient, and Generic Post-Selection Decoding for qLDPC Codes

Haipeng Xie, Nobuyuki Yoshioka, Kento Tsubouchi +1

Quantum error correction is indispensable for scalable quantum computation. Although encoding logical qubits substantially enhances noise resilience, achieving logical error rates…

quant-ph2025

Theory and Architecture of Syndrome-Resolved Logical Gates

Nobuyuki Yoshioka, Alireza Seif, Peter Groszkowski +2

We introduce a general framework for weak transversal gates, namely syndrome-resolved implementation of logical unitaries realized by local physical unitaries, and demonstrate its…

quant-ph20251 cited

Hardness of classically sampling quantum chemistry circuits

Ayoub Hafid, Hokuto Iwakiri, Kento Tsubouchi +2

Significant advances have been made in the study of quantum advantage both in theory and experiment, although these have mostly been limited to artificial setups. In this work, we…

quant-ph20251 cited

Noise-Agnostic Unbiased Quantum Error Mitigation for Logical Qubits

Haipeng Xie, Nobuyuki Yoshioka, Kento Tsubouchi +1

Probabilistic error cancellation is a quantum error mitigation technique capable of producing unbiased computation results but requires an accurate error model. Constructing this m…