Enhancing hybrid quantum-classical algorithms for optimization

This invention describes a method to improve how quantum computers solve complex optimization problems. It involves running a quantum program to generate a set of possible solutions, then sorting these solutions and specifically identifying the best ones, such as the lowest five percent. These top-performing solutions are then used to refine the quantum program, enabling it to find even better solutions more effectively.

Why it matters: Since 2018, quantum computing hardware has become more stable and accessible through cloud platforms, and the development of variational quantum algorithms has matured, making the implementation and refinement of such hybrid approaches more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedQuantum processor, specialized quantum software development.

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