collaborators

10 papers

quant-ph2026

Sampling hard circuits with verifiably high fidelity

Simon Martiel, Jay-U Chung, Alireza Seif +6

Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine the…

quant-ph2026

Symmetries of Pauli Noise from Lindbladian Dynamics

Moein Malekakhlagh, Edward H. Chen, Luke C. G. Govia +1

Characterizing noise in quantum circuits is fundamentally limited by gauge degrees of freedom; certain parameters, such as the individual contributions of state preparation and mea…

quant-ph2026

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-ph2026

Better Pauli Channel Learning with Maximum Likelihood Estimation

Daniel Belkin, Faisal Alam, Matthew Thibodeau +3

Error mitigation in a noisy quantum device requires a very good estimate of the noise channel. The accuracy of probabilistic error cancellation is often limited by the high sample…

quant-ph2026

Learning Mid-circuit Measurement Backaction from Three Repeated Measurements

Chia-Tung Chu, Su-un Lee, Han Zheng +4

Accurate modeling of mid-circuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-p…

quant-ph2026

Disambiguating Pauli noise in quantum computers

Edward H. Chen, Senrui Chen, Laurin E. Fischer +7

To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamenta…