Superposed Quantum Error Mitigation.

Autor: Miguel-Ramiro J; Universität Innsbruck, Institut für Theoretische Physik, Technikerstraße 21a, 6020 Innsbruck, Austria., Shi Z; Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Department of Physics & Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada., Dellantonio L; Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Department of Physics & Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Department of Physics and Astronomy, University of Exeter, Stocker Road, Exeter EX4 4QL, United Kingdom., Chan A; Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Department of Physics & Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada., Muschik CA; Institute for Quantum Computing, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Department of Physics & Astronomy, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.; Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada., Dür W; Universität Innsbruck, Institut für Theoretische Physik, Technikerstraße 21a, 6020 Innsbruck, Austria.
Jazyk: angličtina
Zdroj: Physical review letters [Phys Rev Lett] 2023 Dec 08; Vol. 131 (23), pp. 230601.
DOI: 10.1103/PhysRevLett.131.230601
Abstrakt: Overcoming the influence of noise and imperfections is a major challenge in quantum computing. Here, we present an approach based on applying a desired unitary computation in superposition between the system of interest and some auxiliary states. We demonstrate, numerically and on the IBM Quantum Platform, that parallel applications of the same operation lead to significant noise mitigation when arbitrary noise processes are considered. We first design probabilistic implementations of our scheme that are plug and play, independent of the noise characteristic and require no postprocessing. We then enhance the success probability (up to deterministic) using adaptive corrections. We provide an analysis of our protocol performance and demonstrate that unit fidelity can be achieved asymptotically. Our approaches are suitable to both standard gate-based and measurement-based computational models.
Databáze: MEDLINE