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research article

Quantum-centric computation of molecular excited states with extended sample-based quantum diagonalization

Barison, Stefano  
•
Moreno, Javier Robledo
•
Motta, Mario
April 1, 2025
Quantum Science And Technology

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 quantum subspace expansion based on single and double electronic excitations, a widespread approach to excited states on pre-fault-tolerant quantum devices, in both accuracy and efficiency. We employ the extended SQD method to compute the first singlet (S1) and triplet (T1) excited states of the nitrogen molecule with a correlation-consistent basis set, and the ground- and excited-state properties of the [2Fe-2S] cluster.

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Type
research article
DOI
10.1088/2058-9565/adb781
Web of Science ID

WOS:001440332400001

Author(s)
Barison, Stefano  

École Polytechnique Fédérale de Lausanne

Moreno, Javier Robledo

International Business Machines (IBM)

Motta, Mario

International Business Machines (IBM)

Date Issued

2025-04-01

Publisher

IOP Publishing Ltd

Published in
Quantum Science And Technology
Volume

10

Issue

2

Article Number

025034

Subjects

quantum computing

•

electronic structure

•

excited states

•

sample-based quantum diagonalization

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Available on Infoscience
March 18, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/247957
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