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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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