Work

Compressed quantum error mitigation

Year: 2023

Type: article

Abstract: We introduce a quantum error mitigation technique based on probabilistic error cancellation to eliminate errors which have accumulated during the application of a quantum circuit. Our approach is based on applying an optimal ``denoiser'' after the action of a noisy circuit and can be performed with an arbitrary number of extra gates. The denoiser is given by an ensemble of circuits distributed with a quasiprobability distribution. For a simple noise model, we show that efficient, local denoisers can be found and we demonstrate their effectiveness for the digital quantum simulation of the time evolution of simple spin chains.

Source: Physical review. B./Physical review. B

DOI: 10.1103/physrevb.107.l201114

Authors: Maurits S. J. Tepaske, David J. Luitz

Institution: University of Bonn

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Deutsche Forschungsgemeinschaft, QuantERA

Awards: G434337789, G575169067, QuantERA II ERA-NET Cofund in Quantum Technologies, Mittelfristiges Quantenrechnen aus der Perspektive des Dissipativen Quantenchaos, EXC 2004: Materie und Licht für Quanteninformation (ML4Q)