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      <namePart>Rivero Ramírez, Pedro</namePart>
   </name>
   <titleInfo>
      <title>Quantum Computation for the Understanding of Mass: Simulating Quantum Field Theories</title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2021</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2021</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Dissertation</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>PHYS / Physics</namePart>
   </name>
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      <namePart>Sullivan, Zack</namePart>
   </name>
   <subject>
      <topic>Quantum physics</topic>
   </subject>
   <subject>
      <topic>Computer science</topic>
   </subject>
   <subject>
      <topic>Particle physics</topic>
   </subject>
   <subject>
      <topic>Mass Generation</topic>
   </subject>
   <subject>
      <topic>Physics Simulation</topic>
   </subject>
   <subject>
      <topic>Quantum Computing</topic>
   </subject>
   <subject>
      <topic>Quantum Field Theory</topic>
   </subject>
   <subject>
      <topic>Spontaneous Symmetry Breaking</topic>
   </subject>
   <subject>
      <topic>Variational Quantum Eigensolver</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
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   <abstract>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.</abstract>
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