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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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Related Experiment Video

Updated: Jan 9, 2026

Cooling an Optically Trapped Ultracold Fermi Gas by Periodical Driving
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Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems.

Robert J P T de Keijzer1,2, Luke Y Visser2,3, Oliver Tse2,3

  • 1Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven, The Netherlands.

NPJ Quantum Information
|December 1, 2025
PubMed
Summary
This summary is machine-generated.

We developed a novel algorithm to optimize qubit interactions for quantum algorithms using neutral atom tweezers. This approach enhances variational quantum algorithm performance by improving convergence and reducing errors.

Keywords:
Information theory and computationQuantum physics

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Area of Science:

  • Quantum computing
  • Atomic physics
  • Computational chemistry

Background:

  • Variational quantum algorithms (VQAs) are a promising approach for solving complex problems.
  • Optimizing qubit interactions is crucial for VQA performance.
  • Neutral atom platforms offer unique control over qubit interactions via arbitrary positioning.

Purpose of the Study:

  • To develop an algorithm for tailoring qubit interactions in VQAs.
  • To leverage neutral atom tweezer platforms for optimizing qubit configurations.
  • To improve VQA convergence and mitigate barren plateaus.

Main Methods:

  • Utilized a neutral atom tweezer platform to engineer arbitrary qubit position configurations.
  • Employed a consensus-based algorithm to optimize qubit positions, bypassing gradient-based limitations.
  • Sampled configuration space to identify optimal interatomic interactions for VQAs.

Main Results:

  • Achieved optimized qubit configurations that accelerate pulse optimization convergence.
  • Successfully mitigated barren plateaus in VQAs through tailored qubit arrangements.
  • Demonstrated significant improvements in solving ground state minimization problems for Hamiltonians and small molecules.

Conclusions:

  • The developed algorithm effectively tailors qubit interactions for specific VQA problems.
  • Optimized configurations enhance VQA performance, leading to faster convergence and lower errors.
  • This method shows promise for advancing quantum computation applications in chemistry and materials science.