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Related Experiment Video

Updated: Jun 28, 2025

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Qubit Count Reduction by Orthogonally Constrained Orbital Optimization for Variational Quantum Excited-State Solvers.

Joel Bierman1, Yingzhou Li2,3,4, Jianfeng Lu1,5,6

  • 1Department of Physics, Duke University, Durham, North Carolina 27708, United States.

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|April 10, 2024
PubMed
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We developed a new quantum computing method for accurate excited state calculations. This approach uses fewer qubits and surpasses traditional methods for molecular electronic structure problems.

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Area of Science:

  • Quantum Computing
  • Computational Chemistry
  • Electronic Structure Theory

Background:

  • Accurate calculation of electronic excited states is crucial for understanding molecular properties and reactions.
  • Near-term quantum computers present opportunities for advancing computational chemistry, but require efficient algorithms.

Purpose of the Study:

  • To propose a novel state-averaged orbital optimization scheme for enhancing the accuracy of excited states on quantum computers.
  • To develop a method that overcomes limitations of conventional orbital optimization techniques.

Main Methods:

  • Parameterization of orbital rotation as a general partial unitary matrix.
  • Optimization of state-averaged energy using an orthogonally constrained gradient projection method without expansion approximations.

Main Results:

  • The proposed method achieves higher accuracy than fixed basis Full CI (FCI) for molecular systems.
  • Demonstrated significant qubit reduction, e.g., matching FCI accuracy for H2 with 14 qubits instead of 56.

Conclusions:

  • The state-averaged orbital optimization scheme offers a more accurate and resource-efficient approach for excited state calculations on quantum hardware.
  • This method shows promise for advancing quantum chemistry simulations.