On model reduction for quantum dynamics: symmetries and invariant subspaces

TL;DR

This paper develops algebraic and practical methods for identifying invariant subspaces in parameterized quantum Hamiltonians to enable reduced-order quantum dynamics simulation, especially for spin models.

Contribution

It introduces algebraic conditions and explicit construction methods for invariant subspaces, leveraging properties of the generalized Pauli group for efficient simulation.

Findings

Invariant subspaces can be certified algebraically for parameterized Hamiltonians.

Practical tools are developed to accelerate simulation of spin Hamiltonian dynamics.

Methods are demonstrated on several paradigmatic spin models.

Abstract

Simulation of quantum dynamics is a grand challenge of computational physics. In this work we investigate methods for reducing the demands of such simulation by identifying reduced-order models for dynamics generated by parameterized quantum Hamiltonians. In particular, we first formulate an algebraic condition that certifies the existence of invariant subspaces for a model defined by a parameterized Hamiltonian and an initial state. Following this we develop and analyze two methods to explicitly construct a reduced-order model, if one exists. In addition to general results characterizing invariant subspaces of arbitrary finite dimensional Hamiltonians, by exploiting properties of the generalized Pauli group we develop practical tools to speed up simulation of dynamics generated by certain spin Hamiltonians. To illustrate the methods developed we apply them to several paradigmatic spin models.