Reduced Density Matrix Formulation of Quantum Linear Response.


Journal

Journal of chemical theory and computation
ISSN: 1549-9626
Titre abrégé: J Chem Theory Comput
Pays: United States
ID NLM: 101232704

Informations de publication

Date de publication:
06 Aug 2024
Historique:
medline: 6 8 2024
pubmed: 6 8 2024
entrez: 6 8 2024
Statut: aheadofprint

Résumé

The prediction of spectral properties via linear response (LR) theory is an important tool in quantum chemistry for understanding photoinduced processes in molecular systems. With the advances of quantum computing, we recently adapted this method for near-term quantum hardware using a truncated active space approximation with orbital rotation, named quantum linear response (qLR). In an effort to reduce the classic cost of this hybrid approach, we here derive and implement a reduced density matrix (RDM) driven approach of qLR. This allows for the calculation of spectral properties of moderately sized molecules with much larger basis sets than so far possible. We report qLR results for benzene and

Identifiants

pubmed: 39106406
doi: 10.1021/acs.jctc.4c00574
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Theo Juncker von Buchwald (TJ)

Department of Chemistry, Technical University of Denmark, Kemitorvet Building 207, DK-2800 Kongens Lyngby, Denmark.

Karl Michael Ziems (KM)

Department of Chemistry, Technical University of Denmark, Kemitorvet Building 207, DK-2800 Kongens Lyngby, Denmark.

Erik Rosendahl Kjellgren (ER)

Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.

Stephan P A Sauer (SPA)

Department of Chemistry, University of Copenhagen, DK-2100 Copenhagen, Denmark.

Jacob Kongsted (J)

Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.

Sonia Coriani (S)

Department of Chemistry, Technical University of Denmark, Kemitorvet Building 207, DK-2800 Kongens Lyngby, Denmark.

Classifications MeSH