creator
Rivero Ramírez, Pedro
Quantum Computation for the Understanding of Mass: Simulating Quantum Field Theories
2021
Spring 2021
Dissertation
Illinois Institute of Technology
PHYS / Physics
advisor
Sullivan, Zack
Quantum physics
Computer science
Particle physics
Mass Generation
Physics Simulation
Quantum Computing
Quantum Field Theory
Spontaneous Symmetry Breaking
Variational Quantum Eigensolver
en
This thesis demonstrates the production of hadron mass on a quantum computer. Working in the Nambu–Jona-Lasinio model in 1+1 dimensions and 2 flavors, I show a separation of the contribution of quark masses and interactions to the mass. Along the way I develop a new tool called Quantum Sampling Regression (QSR) that allows for an optimal sampling of low qubit quantum computers when using hybrid variational eigenvalue solving techniques. I demonstrate the regime where QSR dominates the current standard Variational Eigensolver Technique, and benchmark it by improving the calculation of deuteron binding energy. Finally, I developed QRAND — a multiprotocol and multiplatform quantum random number generation framework — in support of the quantum computing community.
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http://rightsstatements.org/page/InC/1.0/
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http://hdl.handle.net/10560/islandora:1024936