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Exact Non-Markovian Quantum Dynamics on the NISQ Device Using Kraus Operators
Avin Seneviratne1, Peter L Walters2, Fei Wang2,3
1Department of Physics and Astronomy, George Mason University, 4400 University Drive, Fairfax, Virginia 22030, United States.
This study introduces a novel quantum algorithm using Kraus operators to accurately simulate non-Markovian dynamics in open quantum systems. The method efficiently captures quantum effects, showing promise for simulating complex molecular processes.
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.
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