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Quantum Algorithm for High Energy Physics Simulations.

Benjamin Nachman1, Davide Provasoli1, Wibe A de Jong2

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This study introduces a novel quantum algorithm for simulating quantum field theories, utilizing quantum computers for complex calculations currently intractable for classical methods. The new approach efficiently models quantum effects in high-energy scattering processes.

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Area of Science:

  • Quantum Computing
  • High Energy Physics
  • Quantum Field Theory

Background:

  • Simulating quantum field theories is crucial for quantum computing applications.
  • Calculating high-energy scattering amplitudes on quantum computers is challenging.
  • Classical methods using Markov chains capture some, but not all, quantum effects.

Purpose of the Study:

  • To develop a new paradigm for quantum algorithms in field theories.
  • To leverage quantum resources for parts of the problem not computable classically.
  • To introduce a quantum final state shower for improved simulation accuracy.

Main Methods:

  • Developed a polynomial time quantum final state shower algorithm.
  • Focused on modeling intermediate spin states in high-energy electroweak showers.
  • Applied the algorithm to a simplified quantum field theory on a quantum computer.

Main Results:

  • The quantum final state shower accurately models effects of intermediate spin states.
  • The new paradigm efficiently uses quantum computers for intractable problems.
  • Demonstrated the algorithm's efficacy on a simplified quantum field theory.

Conclusions:

  • This new approach efficiently exploits quantum computing for quantum field theory simulations.
  • The quantum final state shower offers a more complete modeling of quantum effects.
  • This work paves the way for more accurate quantum simulations in high-energy physics.