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Area of Science:

  • Quantum Many-Body Physics
  • Quantum Computing
  • Computational Chemistry

Background:

  • Response functions link experimental observations to quantum many-body states.
  • Traditional methods like the Lehmann formalism lack direct experimental connection.
  • Quantum computing offers new avenues for simulating complex quantum systems.

Purpose of the Study:

  • To restore the direct link between experimental observations and quantum many-body states.
  • To develop a quantum computing-based method for calculating response functions.
  • To demonstrate the efficiency and applicability of the new framework.

Main Methods:

  • Developed a linear response framework integrated with quantum simulations.
  • Made the experimental measurement an intrinsic part of the quantum simulation process.
  • Utilized superconducting quantum computers for the simulations.

Main Results:

  • Successfully restored the experimental link to quantum many-body states.
  • Demonstrated the ability to obtain frequency- and momentum-selective response functions.
  • Obtained bosonic and fermionic Green's functions as examples.
  • Applied the method to study a charge-density-wave material on a quantum computer.

Conclusions:

  • The linear response method provides a robust framework for quantum simulations.
  • This approach enhances the study of systems in physics and chemistry using quantum computers.
  • The method overcomes limitations of direct operator measurements and offers improved efficiency.