Exact Model Reduction for Continuous-Time Open Quantum Dynamics
Tommaso Grigoletto, Yukuan Tao, Francesco Ticozzi, Lorenza Viola

TL;DR
This paper introduces a systematic method for exactly reducing the complexity of continuous-time open quantum systems, enabling efficient simulation while preserving essential dynamics and structural properties.
Contribution
The authors develop a novel reduction technique using Krylov operator spaces that produces minimal-dimensional models, maintaining physical constraints and extending symmetry-based methods.
Findings
Successfully reduces models for open quantum systems with exact dynamics
Preserves Lindblad form in reduced quantum generators
Demonstrates effectiveness on systems like spin chains and quantum codes
Abstract
We consider finite-dimensional many-body quantum systems described by time-independent Hamiltonians and Markovian master equations, and present a systematic method for constructing smaller-dimensional, reduced models that exactly reproduce the time evolution of a set of initial conditions or observables of interest. Our approach exploits Krylov operator spaces and their extension to operator algebras, and may be used to obtain reduced linear models of minimal dimension, well-suited for simulation on classical computers, or reduced quantum models that preserve the structural constraints of physically admissible quantum dynamics, as required for simulation on quantum computers. Notably, we prove that the reduced quantum-dynamical generator is still in Lindblad form. By introducing a new type of observable-dependent symmetries, we show that our method provides a non-trivial generalization…
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Taxonomy
TopicsQuantum Information and Cryptography · Atomic and Subatomic Physics Research · Neural Networks and Reservoir Computing
