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by Strilanc
2884 days ago
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Yes, there are two reasons that python is an ideal tool for quantum computing libraries at the moment. - In the NISQ era [1], circuits have limited depth and size. It doesn't matter so much which language (or even algorithm!) you use when N<1000. - Simulating a circuit is expensive, but all the heavy lifting can be delegated to highly optimized C code. The most expensive part of Cirq's simulation is (or soon will be) a call to `numpy.einsum` [2]. 1: https://arxiv.org/abs/1801.00862 2: https://github.com/quantumlib/Cirq/blob/24638f234704686c4bb6... |
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