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Adaptive Pauli Shadows for Energy Estimation
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Locally-biased classical shadows allow rapid estimation of energies of quantum Hamiltonians. Recently, derandomised classical shadows have emerged claiming to be even more accurate. This accuracy comes at a cost of introducing classical computing resources into the energy estimation procedure. This present note shows, by adding a fraction of this classical computing resource to the locally-biased classical shadows setting, that the modified algorithm, termed Adaptive Pauli Shadows is state-of-the-art for energy estimation.
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Cited by 2 Pith papers
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Improved Classical Shadow Tomography Using Quantum Computation
A quantum-to-classical-to-quantum protocol prepares states from classical shadows and measures observables directly, achieving exponential space savings for Clifford shadows and faster post-processing.
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