Quantum Brain
← Back to papers

Random matrix perspective on probabilistic error cancellation

Leonhard Moske, Pedro Ribeiro, Tomaž Prosen, Sergiy Denysov, Karol Życzkowski, David J. Luitz·December 1, 2025
Quantum Physicscond-mat.stat-mech

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Probabilistic error cancellation is an attempt to reverse the effect of dissipative noise channels on quantum computers by applying unphysical channels after the execution of a quantum algorithm on noisy hardware. We investigate on general grounds the properties of such unphysical quantum channels by considering a random matrix ensemble modeling noisy quantum algorithms. We show that the complex spectra of denoiser channels inherit their structure from random Lindbladians. Additional structure imposed by the locality of noise channels of the quantum computer emerges in terms of a hierarchy of timescales.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.