A trapezoidal preparation method combined with probability distribution analysis is used to pick efficient guiding states for CVQE, demonstrated on the H2 + H2+ to H3+ + H reaction.
Hybrid vqe-cvqe algorithm using diabatic state preparation
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D-QEO framework uses quantum topographical preconditioning on separable functions via small parallel subcircuits to generate seeds that accelerate classical global optimization and avoid exponential failure rates.
Ground-state energies of homogeneous and random-coupling Ising models are obtained via CVQE with GSA on quantum hardware up to 63 qubits, with error-boundary, entropic, and subspace analyses indicating suitability for near-term devices.
citing papers explorer
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Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver
A trapezoidal preparation method combined with probability distribution analysis is used to pick efficient guiding states for CVQE, demonstrated on the H2 + H2+ to H3+ + H reaction.
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Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search
D-QEO framework uses quantum topographical preconditioning on separable functions via small parallel subcircuits to generate seeds that accelerate classical global optimization and avoid exponential failure rates.
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Ground-state energies of Ising models calculated using the samples from a quantum computer that simulates short-time evolution
Ground-state energies of homogeneous and random-coupling Ising models are obtained via CVQE with GSA on quantum hardware up to 63 qubits, with error-boundary, entropic, and subspace analyses indicating suitability for near-term devices.