This variational quantum algorithm solves quantum master equations in open systems, suggesting scalability using NISQ processors.
Strong coupling and environmental memory render many open quantum systems intractable to classical computation. To overcome this barrier, we present a variational quantum algorithm capable of solving generalized form time-local quantum master equations directly on Noisy Intermediate-Scale Quantum (NISQ) processors. Our approach combines four key innovations: (1) a pair-vector stochastic Schr¨odinger equation tounravel time-local quantum master equations, (2) deterministic evolution projected onto parameterized circuitsvia McLachlan’s principle and stochasitc jump implementation via singular-value decomposition, (3) usingHadamard tests circuits to measure the jump rates and the element of reduced density matrices and (4) usingno-evolution sampling to sample trajectories. The resulting protocol remains resilient under realistic hardwarenoise. We validate it on both classical simulators and a 66-qubit superconducting processor for solving Redfield master equation and fourth-order time-local non-Markovian master equation and find that it can successfully capture key features of complex open quantum dynamics - including non-Markovian oscillations and strong-coupling effects. Our approach establishes a practical pathway toward scalable simulations of open quantum systems in the NISQ era.
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Lan et al. (2025) studied this question.
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