📝 SummarXiv

Abstract

A recent direction in quantum computing for molecular electronic structure sees the use of quantum devices as configuration sampling machines integrated within high-performance computing (HPC) platforms. This appeals to the strengths of both the quantum and classical hardware; where state-sampling is classically hard, the quantum computer can provide computational advantage in the selection of high quality configuration subspaces, while the final molecular energies are evaluated by solving an interaction matrix on HPC and is therefore not corrupted by hardware noise. In this work, we present an algorithm that leverages stochastic Hamiltonian time evolution in Quantum-Selected Configuration Interaction (QSCI), with multireference perturbation theory capturing missed correlations outside the configuration subspace. The approach is validated through a hardware demonstration utilising 42 qubits of an IQM superconducting device to calculate the potential energy curve of the inorganic silane molecule, SiH4 using a 6-31G atomic orbital basis set, under a stretching of the Si-H bond length. In the regime of strong correlation we obtain energies comparable to Heatbath Configuration Interaction, but with a configuration space more than 200 times smaller, providing the first evidence that QSCI can produce more compact representations of the ground state wavefunction compared with conventional heuristics. This result is achieved with a configuration sampling scheme that predicts likely single and double excitations to generate connected configurations based on the orbital occupancies of a time-evolved quantum state.