Work

Spectral analysis for noise diagnostics and filter-based digital error mitigation

Year: 2022

Type: preprint

Abstract: We investigate the effects of noise on parameterised quantum circuits using spectral analysis and classical signal processing tools. For different noise models, we quantify the additional, higher frequency modes in the output signal caused by device errors. We show that filtering these noise-induced modes effectively mitigates device errors. When combined with existing methods, this yields an improved reconstruction of the noiseless variational landscape. Moreover, we describe the classical and quantum resource requirements for these techniques and test their effectiveness for application motivated circuits on quantum hardware.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2206.08811

Authors: Fontana, Enrico, Rungger, Ivan, Duncan, Ross, Cîrstoiu, Cristina

Institutions: National Physical Laboratory, Cambridge Quantum Computing (United Kingdom)

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Government of the United Kingdom, Engineering and Physical Sciences Research Council, National Physical Laboratory

Award: Industrial CASE Account - University of Strathclyde 2019

OpenAlex ID: W4283220666

Cites:

Cited by: 1

Related to: 10