Derives the ultimate quantum limit for estimating functions of multiple parameters in general Hamiltonians, showing it reduces to an optimized single-parameter quantum Cramér-Rao bound with an attaining protocol.
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3 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Randomized Subsystem Descent reduces weighted Pauli weight in fermion-to-qubit mappings for Hubbard models up to 16x16 sites and molecular Hamiltonians with 54 modes.
Variational compression of Trotterized circuits preserves reaction rate coefficients in nonadiabatic dynamics simulations while reducing circuit depth.
citing papers explorer
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Multiparameter function estimation for general Hamiltonians
Derives the ultimate quantum limit for estimating functions of multiple parameters in general Hamiltonians, showing it reduces to an optimized single-parameter quantum Cramér-Rao bound with an attaining protocol.
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Randomized Subsystem Descent for Fermion-to-Qubit Mapping
Randomized Subsystem Descent reduces weighted Pauli weight in fermion-to-qubit mappings for Hubbard models up to 16x16 sites and molecular Hamiltonians with 54 modes.
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Variationally Compressing Quantum Circuits to Approximate Nonadiabatic Molecular Quantum Dynamics
Variational compression of Trotterized circuits preserves reaction rate coefficients in nonadiabatic dynamics simulations while reducing circuit depth.