Accelerating simulated quantum annealing on AWS Graviton processors
Quantum Computing Blog
This article discusses accelerating simulated quantum annealing (SQA) on AWS Graviton processors. SQA is a classical approach to simulate quantum annealing for solving optimization problems.
Specifically, the article covers:
- Background on quadratic unconstrained binary optimization (QUBO) and the Ising model
- Simulated annealing (SA) and quantum annealing (QA) algorithms for optimization
- The SQA algorithm as a classical approach to simulate QA
- Parallelization of SQA on AWS Graviton processors for acceleration
- JijZept, a cloud service for numerical optimization using SQA on Graviton
- Benchmark results showing 1.5x speedup of SQA on Graviton3 vs Graviton2
- Conclusion highlighting benefits of combining quantum-inspired algorithms and cloud platforms
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