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Cloud Quantum Computing of an Atomic Nucleus.

E F Dumitrescu1, A J McCaskey2, G Hagen3,4

  • 1Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA.

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This summary is machine-generated.

We simulated the deuteron binding energy using quantum computing, achieving a few percent accuracy. This research pioneers cloud-based quantum simulations for nuclear structure calculations.

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Area of Science:

  • Quantum computing
  • Nuclear physics
  • Computational chemistry

Background:

  • Quantum simulation is a promising approach for complex scientific problems.
  • Accurate computation of the deuteron binding energy is a fundamental challenge in nuclear physics.
  • Cloud-based quantum processors offer accessible platforms for advanced research.

Purpose of the Study:

  • To perform a quantum simulation of the deuteron binding energy.
  • To explore the application of nascent quantum devices for nuclear structure computations.
  • To develop and test a low-depth quantum algorithm for binding energy calculations.

Main Methods:

  • Utilized a Hamiltonian from pionless effective field theory at leading order.
  • Designed a low-depth version of the unitary coupled-cluster ansatz.
  • Employed the variational quantum eigensolver algorithm on cloud-accessed quantum processors.

Main Results:

  • Successfully computed the deuteron binding energy with accuracy within a few percent.
  • Demonstrated the feasibility of cloud-based quantum simulation for nuclear structure.
  • Validated a novel, low-depth quantum algorithm for variational eigensolving.

Conclusions:

  • This work represents a significant first step towards scalable nuclear structure computations using quantum processors.
  • The findings provide insights into mapping scientific computing applications onto current quantum hardware.
  • Highlights the potential of cloud quantum computing for advancing fundamental physics research.