Exploring quantum-informed recursive optimization algorithms on Amazon Braket
Quantum Computing Blog
This article discusses quantum-informed recursive optimization (QIRO) algorithms for solving constrained combinatorial optimization problems, such as the maximum independent set (MIS) problem, using a hybrid quantum-classical approach. The key points are:
Specifically, the article covers:
- Challenges of encoding constrained optimization problems in the standard QUBO (quadratic unconstrained binary optimization) formulation for quantum optimization.
- The QIRO algorithm, which recursively simplifies the problem using correlations obtained from quantum resources like QAOA or quantum annealing.
- Experimental results showing QIRO informed by neutral atom quantum hardware (QuEra Aquila) outperforming classical benchmarks for the MIS problem.
- Potential improvements to QIRO, such as tailoring update rules to specific problems and improving the quantum component.
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