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Development of a compact Ansatz via operator commutativity screening: Digital quantum simulation of molecular systems.

Dibyendu MondalDipanjali HalderSonaldeep HalderRahul Maitra
Published in: The Journal of chemical physics (2023)
Recent advancements in quantum information and quantum technology have stimulated a good deal of interest in the development of quantum algorithms toward the determination of the energetics and properties of many-fermionic systems. While the variational quantum eigensolver is the most optimal algorithm in the noisy intermediate scale quantum era, it is imperative to develop compact Ansätze with low-depth quantum circuits that are physically realizable in quantum devices. Within the unitary coupled cluster framework, we develop a disentangled Ansatz construction protocol that can dynamically tailor an optimal Ansatz using the one- and two-body cluster operators and a selection of rank-two scatterers. The construction of the Ansatz may potentially be performed in parallel over multiple quantum processors through energy sorting and operator commutativity prescreening. With a significant reduction in the circuit depth toward the simulation of molecular strong correlation, our dynamic Ansatz construction protocol is shown to be highly accurate and resilient to the noisy circumstances of the near-term quantum hardware.
Keyphrases
  • molecular dynamics
  • energy transfer
  • monte carlo
  • deep learning
  • healthcare
  • optical coherence tomography
  • mass spectrometry
  • preterm birth
  • molecularly imprinted