A variational toolbox for quantum multi-parameter estimation

Meyer JJ, Borregaard J, Eisert J (2021)

Publication Type: Journal article

Publication year: 2021

Journal

npj Quantum Information Nature Research

Book Volume: 7

Article Number: 89

Journal Issue: 1

DOI: 10.1038/s41534-021-00425-y

Abstract

With an ever-expanding ecosystem of noisy and intermediate-scale quantum devices, exploring their possible applications is a rapidly growing field of quantum information science. In this work, we demonstrate that variational quantum algorithms feasible on such devices address a challenge central to the field of quantum metrology: The identification of near-optimal probes and measurement operators for noisy multi-parameter estimation problems. We first introduce a general framework that allows for sequential updates of variational parameters to improve probe states and measurements and is widely applicable to both discrete and continuous-variable settings. We then demonstrate the practical functioning of the approach through numerical simulations, showcasing how tailored probes and measurements improve over standard methods in the noisy regime. Along the way, we prove the validity of a general parameter-shift rule for noisy evolutions, expected to be of general interest in variational quantum algorithms. In our approach, we advocate the mindset of quantum-aided design, exploiting quantum technology to learn close to optimal, experimentally feasible quantum metrology protocols.

Involved external institutions

Freie Universität Berlin DE Germany (DE) Delft University of Technology (TU Delft) NL Netherlands (NL)

How to cite

APA:

Meyer, J.J., Borregaard, J., & Eisert, J. (2021). A variational toolbox for quantum multi-parameter estimation. npj Quantum Information, 7(1). https://doi.org/10.1038/s41534-021-00425-y

MLA:

Meyer, Johannes Jakob, Johannes Borregaard, and Jens Eisert. "A variational toolbox for quantum multi-parameter estimation." npj Quantum Information 7.1 (2021).

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