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Modular Cluster Circuits for the Variational Quantum Eigensolver.

Seyed Ehsan GhasempouriGerhard W DueckStijn De Baerdemacker
Published in: The journal of physical chemistry. A (2023)
The variational quantum eigensolver algorithm recently became a popular method to compute the quantum chemical properties of molecules on noisy intermediate scale quantum (NISQ) devices. In order to avoid noise accumulation from the NISQ device in the quantum circuit, it is important to keep the so-called quantum depth of the circuit at a minimum, defined as the minimum number of quantum gates that must be operated sequentially. In the present work, we introduce a modular 2-qubit cluster circuit that allows for the design of a shallow-depth quantum circuit compared to previously proposed architectures without loss of chemical accuracy. Moreover, by virtue of the simplicity of the cluster circuit, it is possible to assign a valence bond chemical interpretation to the cluster circuit. The design was tested on the H 2 , (H 2 ) 2 , and LiH molecules, as well as the finite-size transverse-field Ising model, as the latter provides additional insights into the construction of the circuit in a resonating valence bond picture.
Keyphrases
  • molecular dynamics
  • energy transfer
  • monte carlo
  • machine learning
  • optical coherence tomography
  • air pollution
  • deep learning
  • electron transfer