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Area of Science:

  • Quantum physics
  • Theoretical chemistry
  • Computational science

Background:

  • Open quantum systems theory is crucial for simulating quantum dynamics and understanding quantum technologies.
  • Simulating charge and energy transfer in complex systems often involves challenging non-Markovian behavior.
  • Classical simulations face exponential scaling issues with non-Markovian processes.

Purpose of the Study:

  • To develop a quantum algorithm for accurate simulation of non-Markovian dynamics in open quantum systems at finite temperatures.
  • To address the limitations of classical computational methods for complex quantum processes.

Main Methods:

  • A new quantum algorithm based on Kraus operators is presented.
  • Singular value decomposition (SVD) and optimal Walsh operators are employed for efficient quantum circuit implementation.
  • The algorithm is designed to capture exact non-Markovian effects.

Main Results:

  • The quantum algorithm successfully simulates spin-boson dynamics and exciton transfer in the Fenna-Matthews-Olson (FMO) complex.
  • Near-term intermediate-scale quantum (NISQ) results demonstrate excellent agreement with exact simulations.
  • The implementation results in shallow quantum circuits.

Conclusions:

  • The developed quantum algorithm offers an efficient and accurate method for simulating non-Markovian dynamics.
  • This approach holds significant potential for advancing quantum simulations in chemistry and materials science.
  • The algorithm's feasibility on NISQ devices paves the way for future quantum computational chemistry applications.