Quantum computation of molecular structure using data from challenging-to-classically-simulate nuclear magnetic resonance experiments

HIGHLIGHTS

• who: Ou2019Brien Thomas E. from the Google AI, Venice, California, USAUniversity of have published the research: Quantum Computation of Molecular Structure Using Data from Challenging-To-Classically-Simulate Nuclear Magnetic Resonance Experiments, in the Journal: (JOURNAL) of 27/09/2022
• what: The authors propose a algorithm for inferring the molecular spin Hamiltonian from timeresolved measurements of spin-spin correlators which can be obtained via (NMR). The authors focus on learning the anisotropic dipolar term of the Hamiltonian which generates dynamics that are in some contexts. The authors demonstrate the ability directly estimate the Jacobian and . . .
  

   

  

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