Quantum Computation for the Understanding of Mass: Simulating Quantum Field Theories Rivero Ramírez, Pedro Quantum physics Computer science Particle physics Mass Generation Physics Simulation Quantum Computing Quantum Field Theory Spontaneous Symmetry Breaking Variational Quantum Eigensolver 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. Sullivan, Zack 2021 Dissertation application/pdf islandora:1024936 http://hdl.handle.net/10560/islandora:1024936 Illinois Institute of Technology PHYS / Physics en In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access