This article discusses a new classical algorithm developed by researchers from the University of Chicago that simulates Gaussian boson sampling (GBS), a key quantum computing problem. This algorithm efficiently simulates noisy GBS experiments, challenging the claimed “quantum advantage” of some quantum computers. It highlights how noise impacts quantum systems and provides insights for improving both quantum experiments and their real-world applications, like cryptography and materials discovery, by integrating classical and quantum computing methods.
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