Login / Signup

Quantum Simulation of Molecular Response Properties in the NISQ Era.

Ashutosh KumarAyush AsthanaVibin AbrahamT Daniel CrawfordNicholas J MayhallYu ZhangLukasz CincioSergei TretiakPavel A Dub
Published in: Journal of chemical theory and computation (2023)
Accurate modeling of the response of molecular systems to an external electromagnetic field is challenging on classical computers, especially in the regime of strong electronic correlation. In this article, we develop a quantum linear response (qLR) theory to calculate molecular response properties on near-term quantum computers. Inspired by the recently developed variants of the quantum counterpart of equation of motion (qEOM) theory, the qLR formalism employs "killer condition" satisfying excitation operator manifolds that offer a number of theoretical advantages along with reduced quantum resource requirements. We also used the qEOM framework in this work to calculate the state-specific response properties. Further, through noiseless quantum simulations, we show that response properties calculated using the qLR approach are more accurate than the ones obtained from the classical coupled-cluster-based linear response models due to the improved quality of the ground-state wave function obtained using the ADAPT-VQE algorithm.
Keyphrases
  • molecular dynamics
  • machine learning
  • energy transfer
  • gene expression
  • dna methylation
  • deep learning
  • monte carlo
  • genome wide
  • copy number