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Analog Quantum Experiments Meet Automatic Differentiation - from Programs to Atoms
Gradient-based optimization of analog quantum hardware poses a concrete programming problem: given an executable experiment P(θ) that returns only measurement samples, what executable experiment should the system run to obtain (d/dθ_ell)P(θ)? Conventional automatic differentiation cannot propagate t
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