Sampling errors in complex quantum simulations can be reduced by factors exceeding those of previous techniques, thanks to a new method called matrix phase-space. This approach systematically incorporates global symmetries, unifying established phase-space methods like gauge-P and stochastic Bloch representations. Applying this to Gaussian boson sampling demonstrates its potential for verifying outputs from advanced quantum computers.
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