Simulating Non-Markovian Quantum Dynamics on NISQ Computers Using the Hierarchical Equations of Motion
Xiaohan Dan, Eitan Geva, Victor S. Batista

TL;DR
This paper presents a quantum algorithm that enables the simulation of non-Markovian open quantum system dynamics on NISQ computers, demonstrated through applications to complex molecular systems using the hierarchical equations of motion.
Contribution
The work introduces a novel quantum algorithm that simulates non-Markovian dynamics by integrating the hierarchical equations of motion with NISQ-compatible quantum computing techniques.
Findings
Successfully simulated non-Lindbladian dynamics in molecular models
Demonstrated the algorithm's effectiveness on NISQ hardware
Extended quantum simulation capabilities to complex open systems
Abstract
Quantum computing offers promising new avenues for tackling the long-standing challenge of simulating the quantum dynamics of complex chemical systems, particularly open quantum systems coupled to external baths. However, simulating such non-unitary dynamics on quantum computers is challenging since quantum circuits are specifically designed to carry out unitary transformations. Furthermore, chemical systems are often strongly coupled to the surrounding environment, rendering the dynamics non-Markovian and beyond the scope of Markovian quantum master equations like Lindblad or Redfield. In this work, we introduce a quantum algorithm designed to simulate non-Markovian dynamics of open quantum systems. Our approach enables the implementation of arbitrary quantum master equations on noisy intermediate-scale quantum (NISQ) computers. We illustrate the method as applied in conjunction with…
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Taxonomy
TopicsComputational Physics and Python Applications · Quantum Computing Algorithms and Architecture
