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Published on: August 2, 2019
SU(2) hadrons on a quantum computer via a variational approach.
Yasar Y Atas1,2, Jinglei Zhang3,4, Randy Lewis5
1Institute for Quantum Computing, University of Waterloo, Waterloo, ON, Canada, N2L 3G1. yyatas@uwaterloo.ca.
Researchers used quantum computers to simulate non-Abelian gauge theories, observing hadrons and calculating their masses. This hybrid approach advances quantum simulations for particle and nuclear physics research.
Area of Science:
- Quantum computing
- High Energy Physics
- Computational Physics
Background:
- Gauge theories are fundamental to describing particle interactions.
- Simulating complex quantum systems like gauge theories is computationally challenging for classical computers.
- Quantum computers offer a potential avenue for tackling these simulations.
Purpose of the Study:
- To variationally prepare low-lying eigenstates of a non-Abelian gauge theory with dynamically coupled matter on a quantum computer.
- To enable the observation and mass calculation of hadrons using quantum simulations.
- To lay the groundwork for future quantum simulations in particle and nuclear physics.
Main Methods:
- Utilized a variational quantum eigensolver on an IBM superconducting quantum computing platform.
- Employed a hybrid approach combining classical and quantum computing resources.
- Studied an SU(2) gauge group with dynamically coupled matter fields.
Main Results:
- Successfully prepared low-lying eigenstates of the non-Abelian gauge theory.
- Observed hadrons (meson and baryon states) for the first time in a non-Abelian simulation on a quantum computer.
- Calculated the associated masses of these observed hadrons.
Conclusions:
- Demonstrated a resource-efficient hybrid quantum-classical approach for simulating non-Abelian gauge theories with dynamical matter on current quantum hardware.
- The study represents a significant first step towards simulating quantum chromodynamics.
- Paves the way for addressing open questions in particle and nuclear physics through advanced quantum simulations.
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