TL;DR
QuOp_MPI is a Python framework that enables efficient parallel simulation of quantum variational algorithms using MPI, supporting complex quantum algorithm design and large-scale simulations on parallel systems.
Contribution
It introduces QuOp_MPI, a novel Python package that combines object-oriented design with MPI-parallelised techniques for simulating quantum variational algorithms efficiently.
Findings
Supports simulation of quantum algorithms for combinatorial optimization
Achieves high efficiency on massively parallel systems
Enables simulation of complex quantum dynamics
Abstract
QuOp_MPI is a Python package designed for parallel simulation of quantum variational algorithms. It presents an object-orientated approach to quantum variational algorithm design and utilises MPI-parallelised sparse-matrix exponentiation, the fast Fourier transform and parallel gradient evaluation to achieve the highly efficient simulation of the fundamental unitary dynamics on massively parallel systems. In this article, we introduce QuOp_MPI and explore its application to the simulation of quantum algorithms designed to solve combinatorial optimisation algorithms including the Quantum Approximation Optimisation Algorithm, the Quantum Alternating Operator Ansatz, and the Quantum Walk-assisted Optimisation Algorithm.
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