Generalizes iterative phase estimation to randomized Hamiltonians per step plus importance sampling, yielding fewer terms and sometimes fewer qubits for gapped chemical Hamiltonians.
Campbell, A random compiler for fast hamiltonian simulation, arXiv preprint arXiv:1811.08017 (2018)
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An oracle-free Trotter-based quantum algorithm for nonadiabatic molecular dynamics achieves circuit depth advantages over QROM architectures and retains T-gate scalability compared to quantum signal processing.
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.
A Transformer policy optimizes quantum circuit ansatzes for QSCI, yielding up to 98% reduction in two-qubit gates while reaching chemical accuracy on N2 and competitive compactness with classical methods.
citing papers explorer
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Phase estimation with randomized Hamiltonians
Generalizes iterative phase estimation to randomized Hamiltonians per step plus importance sampling, yielding fewer terms and sometimes fewer qubits for gapped chemical Hamiltonians.
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An Oracle-Free Quantum Algorithm for Nonadiabatic Quantum Molecular Dynamics
An oracle-free Trotter-based quantum algorithm for nonadiabatic molecular dynamics achieves circuit depth advantages over QROM architectures and retains T-gate scalability compared to quantum signal processing.
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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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Generative Circuit Design for Quantum-Selected Configuration Interaction
A Transformer policy optimizes quantum circuit ansatzes for QSCI, yielding up to 98% reduction in two-qubit gates while reaching chemical accuracy on N2 and competitive compactness with classical methods.