Rigetti and Purdue University Demonstrate Quantum Preconditioning Framework for Constrained Optimization

Quantum computing developer Rigetti Computing and researchers from Purdue University have published joint research extending Rigetti’s quantum preconditioning framework to hard-constrained combinatorial optimization problems. By using two-point variable correlations extracted from shallow Quantum Approximate Optimization Algorithm (QAOA) circuits to modify the objective function of commercial Mixed-Integer Programming (MIP) solvers, the team demonstrated that quantum preconditioning […]

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