We address the limitations of variational quantum circuits (VQCs) in hybrid classical-quantum transfer learning by introducing post-variational strategies, which reduce training overhead and mitigate ...
For the finetuning stage, we partition the 325,000 even experimental samples into training and validation sets (‘Sycamore data’ in Methods). This procedure allows us to train a decoder to high ...
Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...
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