Improving success probability of imaginary-time evolution on a quantum computer

ORAL

Abstract

Quantum algorithms based on the imaginary-time evolution (ITE) method are actively researched due to their characteristics of the exponential decay of high-energy states. One proposal realizes the action of the ITE operator by introducing an ancilla qubit with some probability, called its probabilistic ITE (PITE) method. The advantage of the PITE method over other types of the ITE method on a quantum computer is the unnecessity of many evaluations of quantum circuits to obtain the next imaginary-time steps. However, the probabilistic nature of the PITE method brings us the drawback that a success probability, the probability of obtaining the state acted on by the ITE operator, exponentially decreases along with an increase of imaginary time. Here, we cope with the undesirable nature by using quantum amplitude amplification. The developed quantum circuits for PITE combined with quantum amplitude amplification (QAA) succeeded in the reduction of the circuit depth and improvement of the success probability. We present the simulation results employed by the proposed technique with a discussion of the computational overhead of the amplification circuits.

*This work was supported by MEXT under "Program for Promoting Researches on the Supercomputer Fugaku" (JPMXP1020200205) and by JSPS KAKENHI under Grant-in-Aid for Scientific Research (A) No. 21H04553. The computation in this paper was done using supercomputer Fugaku provided by the RIKEN Center for Computational Science–Supercomputer Center at the Institute for Solid State Physics at the University of Tokyo.

Publication: Taichi Kosugi, Yusuke Nishiya, Hirofumi Nishi, and Yu-ichiro Matsushita. "Imaginary-time evolution using forward and backward real-time evolution with a single ancilla: First-quantized eigensolver algorithm for quantum chemistry". Phys. Rev. Research 4, 033121 (2022).

Presenters

  • Hirofumi Nishi

    • Tokyo Institute of Technology, Tokyo

Authors

  • Hirofumi Nishi

    • Tokyo Institute of Technology, Tokyo
  • Taichi Kosugi

    • Univ of Tokyo
    • Quemix Inc.
  • Yusuke Nishiya

    • Tokyo Institute of Technology
  • Yu-ichiro Matsushita

    • Tokyo Institute of Tecdhnology
    • Tokyo Institute of Technology