Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization
Stefano Barison, Javier Robledo Moreno, Mario Motta

TL;DR
This paper introduces an extended sample-based quantum diagonalization algorithm for accurately computing low-lying molecular excited states, demonstrating improved efficiency and accuracy over existing methods in quantum chemistry simulations.
Contribution
The authors extend the SQD algorithm to include excited states, surpassing previous quantum subspace expansion methods in accuracy and efficiency for molecular excited state calculations.
Findings
Successfully computed S1 and T1 excited states of nitrogen molecule.
Determined ground and excited state properties of [2Fe-2S] cluster.
Enhanced quantum simulation capabilities for chemical properties.
Abstract
The simulation of molecular electronic structure is an important application of quantum devices. Recently, it has been shown that quantum devices can be effectively combined with classical supercomputing centers in the context of the sample-based quantum diagonalization (SQD) algorithm. This allowed the largest electronic structure quantum simulation to date (77 qubits) and opened near-term devices to practical use cases in chemistry toward the hundred-qubit mark. However, the description of many important physical and chemical properties of those systems, such as photo-absorption/-emission, requires a treatment that goes beyond the ground state alone. In this work, we extend the SQD algorithm to determine low-lying molecular excited states. The extended-SQD method improves over the original SQD method in accuracy, at the cost of an additional computational step. It also improves over…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Laser-Matter Interactions and Applications · Molecular Junctions and Nanostructures
