Scalable Simulation of Quantum Dynamics on Topological Quantum Hardware
quant-ph
Submitted: 2026-09-16
Updated: 2026-09-29
Comments: 22 pages, 8 figures
License: http://creativecommons.org/licenses/by/4.0/
The gist: Quantum computers offer a significant advantage in simulating quantum systems compared to classical computers for certain problems, although most current applications are limited to calculating
Terminology
Abstract
Quantum computers offer a significant advantage in simulating quantum systems compared to classical computers for certain problems, although most current applications are limited to calculating static molecular properties using hybrid quantum-classical hardware. In this work, we establish a framework for the representation of quantum dynamics in molecular and condensed matter systems, designed for execution on topological quantum hardware. By leveraging the non-Abelian braiding statistics of Fibonacci and Ising anyons, we utilize the Solovay-Kitaev algorithm to approximate unitary propagators for a range of systems. We demonstrate the efficacy of these algorithms across a hierarchy of complexity, from two-level systems and one dimensional double-well potentials to condensed phase spin-boson models, simple molecules, and molecular reaction kinetics. These algorithms provide a scalable and robust pathway for simulating many-body condensed phase chemical physics on fault-tolerant quantum devices.
Sources
- Next Steps in Quantum Computing: Computer Science's Role
- The Solovay-Kitaev algorithm
- Quantum Algorithm Software for Condensed Matter Physics
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