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

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

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

classification quant-ph
keywords quantumbehaviorannealingclassicaldevicespackageperformancesimulating
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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Cited by 2 Pith papers

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.

  2. Uncovering and Circumventing Noise in Quantum Algorithms via Metastability

    quant-ph 2025-11 reject novelty 4.0

    A Liouvillian-spectrum noise-resilience index is introduced to pick circuit symmetries that avoid fast-decaying Pauli noise, with numerical and hardware demonstrations on IBM and D-Wave devices.