The reviewed record of science sign in
Pith

arxiv: 2404.14501 · v2 · pith:5JVYNK2O · submitted 2024-04-22 · quant-ph

QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models

Reviewed by Pithpith:5JVYNK2Oopen to challenge →

classification quant-ph
keywords quantumbehaviorannealingclassicaldevicespackageperformancesimulating
0
0 comments X
read the original abstract

Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimization problems, and simulating quantum systems. Due to the challenges of simulating dynamic quantum systems, there are relatively few classical tools for modeling the behavior of these devices and verifying their performance. QuantumAnnealing.jl provides a toolkit for performing simulations of Analog Quantum Computers on classical hardware. This package includes functionality for simulation of the time evolution of the Transverse Field Ising Model, replicating annealing schedules used by real world annealing hardware, implementing custom annealing schedules, and more. This allows for rapid prototyping of models expected to display interesting behavior, verification of the performance of quantum devices, and easy comparison against the expected behavior of quantum devices against classical approaches for small systems. The software is provided as open-source and is available through Julia's package registry system.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Neural and Tensor Networks in the Study of Quantum Annealing Processors

    quant-ph 2026-04 unverdicted novelty 5.0

    The thesis introduces a topology-aware tensor-network heuristic called SpinGlassPEPS.jl and thermodynamic metrics to benchmark quantum annealers on Ising problems while accounting for dissipation and effective temperature.