Work

Noise‐Tailored Constructions for Spin Wigner Function Kernels

Year: 2024

Type: article

Abstract: The effective use of noisy intermediate‐scale quantum devices requires error mitigation to improve the accuracy of sampled measurement distributions. The more accurately the effects of noise on these distributions can be modeled, the more closely error mitigation will be able to approach theoretical bounds. The characterization of noisy quantum channels and the inference of their effects on general observables are challenging problems, but in many cases a change in representation can greatly simplify the analysis. Here, spin Wigner functions for multiqudit systems are investigated. This study generalizes previous kernel constructions, capturing the effects of several probabilistic unitary noise models in few parameters.

Source: Advanced Physics Research

DOI: 10.1002/apxr.202300124

Authors: Michael Hanks, Soovin Lee, M.S. Kim

Institution: Imperial College London

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,450

Funders: UK Research and Innovation, Samsung, Engineering and Physical Sciences Research Council