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A Gaussian Boson Sampling for Graph Computation

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Abstract

A gaussian boson sampling microprocessor for graph applications, such as solving task assignment, Boolean satisfiability, graph clique, max cut, vertex cover problems, is demonstrated and achieved. It manifests the ability of photonic quantum computing to realize practical applications for conventionally intractable computations.

© 2023 The Author(s)

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