aiqbench analysis
This research introduces a robust numerical solver for non-Markovian quantum state diffusion, addressing the computational challenges of simulating open quantum systems with complex memory effects. By deriving analytical solutions that separate stochastic propagation from functional derivatives, the proposed framework enables accurate modeling across arbitrary bath correlation functions without relying on specific decompositions. This advancement significantly improves temporal accuracy and scalability for multi-level quantum system simulations in fundamental physics research.
A General First- and Second-Order Numerical Solver for Non-Markovian Quantum State Diffusion
arXiv:2607.25427v1 Announce Type: new Abstract: The numerical simulation of non-Markovian open quantum systems based on the non-Markovian quantum state diffusion (NMQSD) equation is complicated by functional derivatives with respect to the stochastic process. A general numerical framework that directly treats these functional derivatives without relying on prescribed decompositions of the bath correlation function is still lacking. In this work, we derive an analytical solution of the linear NMQSD equation that reveals three elementary structures of the non-Markovian stochastic dynamics: stochastic propagation, functional-derivative insertion, and memory pairing. Based on this structure, we construct a general auxiliary-state framework for arbitrary bath correlation functions. The framework separates the numerical construction into time discretization, memory quadrature, and hierarchy truncation. We then construct first- and second-order schemes and provide diagrammatic transition rules for their explicit implementation. Numerical results verify the expected temporal accuracy and demonstrate the applicability of the proposed methods to different bath correlation functions and multi-level quantum systems.
Abstract:The numerical simulation of non-Markovian open quantum systems based on the non-Markovian quantum state diffusion (NMQSD) equation is complicated by functional derivatives with respect to the stochastic process. A general numerical framework that directly treats these functional derivatives without relying on prescribed decompositions of the bath correlation function is still lacking. In this work, we derive an analytical solution of the linear NMQSD equation that reveals three elementary structures of the non-Markovian stochastic dynamics: stochastic propagation, functional-derivative insertion, and memory pairing. Based on this structure, we construct a general auxiliary-state framework for arbitrary bath correlation functions. The framework separates the numerical construction into time discretization, memory quadrature, and hierarchy truncation. We then construct first- and second-order schemes and provide diagrammatic transition rules for their explicit implementation. Numerical results verify the expected temporal accuracy and demonstrate the applicability of the proposed methods to different bath correlation functions and multi-level quantum systems.
Quantum Physics (quant-ph); Numerical Analysis (math.NA)
arXiv:2607.25427 [quant-ph]
(or arXiv:2607.25427v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.25427 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Full text under the publisher's open licence · 247 words
Related coverage

News
Quantum Computing Report · Jun 7, 2026
Running Variational Quantum Eigensolver with Qiskit Aer on AMD Instinct
AMD · May 29, 2026

Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
Quantum Journal · Oct 8, 2026

Faster Quantum Simulation Of Markovian Open Quantum Systems Via Randomisation
Quantum Journal · Sep 3, 2026