Quantum time dynamics employing the Yang-Baxter equation for circuit compression

Bo Peng, Sahil Gulania, Yuri Alexeev, and Niranjan Govind
Phys. Rev. A 106, 012412 – Published 8 July 2022

Abstract

Quantum time dynamics (QTD) is considered a promising problem for quantum supremacy on near-term quantum computers. However, QTD quantum circuits grow with increasing time simulations. This study focuses on simulating the time dynamics of one-dimensional (1D) integrable spin chains with nearest-neighbor interactions. We have proved the existence of a reflection symmetry in the quantum circuit employed for simulating the time evolution of certain classes of 1D Heisenberg model Hamiltonians by virtue of the quantum Yang-Baxter equation, and how this symmetry can be exploited to compress and produce a shallow quantum circuit. With this compression scheme, the depth of the quantum circuit becomes independent of step size and only depends on the number of spins. We show that the depth of the compressed circuit is rigorously a linear function of the system size for the studied Heisenberg model Hamiltonians in the present work. As a consequence, the number of CNOT gates in the compressed circuit only scales quadratically with the system size, which allows for the simulations of time dynamics of very large 1D spin chains. We derive the compressed circuit representations for different special cases of the Heisenberg Hamiltonian. We compare and demonstrate the effectiveness of this approach by performing simulations on quantum computers.

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  • Received 24 January 2022
  • Accepted 21 June 2022

DOI:https://doi.org/10.1103/PhysRevA.106.012412

©2022 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsQuantum Information, Science & Technology

Authors & Affiliations

Bo Peng*

  • Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, USA

Sahil Gulania

  • Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USA

Yuri Alexeev

  • Computational Science Division, Argonne National Laboratory, Lemont, Illinois 60439, USA

Niranjan Govind§

  • Physical and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, USA

  • *peng398@pnnl.gov
  • sgulania@anl.gov
  • yuri@anl.gov
  • §niri.govind@pnnl.gov

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Issue

Vol. 106, Iss. 1 — July 2022

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