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Quantum Optimization
Quantum Simulation
JuliQAOA: Fast, Flexible QAOA Simulation
arXiv
Authors: John Golden, Andreas Bärtschi, Daniel O'Malley, Elijah Pelofske, Stephan Eidenbenz
Year
2023
Paper ID
52609
Status
Preprint
Abstract Read
~2 min
Abstract Words
125
Citations
N/A
Abstract
We introduce JuliQAOA, a simulation package specifically built for the Quantum Alternating Operator Ansatz (QAOA). JuliQAOA does not require a circuit-level description of QAOA problems, or another package to simulate such circuits, instead relying on a more direct linear algebra implementation. This allows for increased QAOA-specific performance improvements, as well as improved flexibility and generality. JuliQAOA is the first QAOA package designed to aid in the study of both constrained and unconstrained combinatorial optimization problems, and can easily include novel cost functions, mixer Hamiltonians, and other variations. JuliQAOA also includes robust and extensible methods for learning optimal angles. Written in the Julia language, JuliQAOA outperforms existing QAOA software packages and scales well to HPC-level resources. JuliQAOA is available at https://github.com/lanl/JuliQAOA.jl.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2023 reference point for readers tracking recent quantum research.
- We introduce JuliQAOA, a simulation package specifically built for the Quantum Alternating Operator Ansatz (QAOA).
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