Purification-based quantum simulations via clustering property

ORAL

Abstract

Quantum many-body systems that appear in natural phenomena can be efficiently simulated by quantum computers. However, the experimental limitations of near-term devices still make it challenging to perform the entire process of the quantum simulation. The purification-based quantum simulations have been proposed in order to break the limitations in experiments such as the cooling temperature and noise from the environment, whereas this method requires globally entangled measurements and an exponentially large number of measurements regarding the system size. In this work, we aim to overcome the drawbacks by restricting the entangled measurements to the vicinity of the local observables to be measured, when the locality of the system can be exploited. Under the assumption of the clustering property, we provide theoretical guarantees that the global purification operation can be replaced with local operations, in particular for the task of cooling and error mitigation. We furthermore give a numerical verification that the localized virtual purification is valid even when conditions are not satisfied. Our method fills the gaps between the fundamental concept of locality and quantum simulation, and therefore expected to open a path to unexplored quantum many-body phenomena.

* This work was supported by MEXT Quantum Leap Flagship Program (MEXT Q-LEAP) Grant Number JPMXS0120319794. This work was supported by JST Grant Number JPMJPF2221. This work was also supported by JST Moonshot R&D (Grant Number JPMJMS226C). S.E. is supported by JST PRESTO No. JPMJPR2114. Y.M. is supported by JSPS KAKENHI (Grant Number 23H04390). N.Y. wishes to thank JST PRESTO No. JPMJPR2119, and the support from IBM Quantum.

Presenters

  • Hideaki Hakoshima

    QIQB, Osaka university

Authors

  • Hideaki Hakoshima

    QIQB, Osaka university

  • Suguru Endo

    NTT Corporation, NTT Corporation, JST PRESTO, NTT computer & data science laboratories

  • Kaoru Yamamoto

    NTT Computer and Data Science Laboratories, NTT Corporation, NTT computer & data science laboratories

  • Yuichiro Matsuzaki

    Chuo university, Faculty of Science and Engineering, Chuo University, Department of Electrical, Electronic, and Communication Engineering, Faculty of Science and Engineering, Chuo University, AIST, NTT Basic Research Laboratories, Chuo University

  • Nobuyuki Yoshioka

    University of Tokyo, Department of Applied Physics, The University of Tokyo