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Quantum Computational Particle Physics: Algorithms, Resource Estimation, and Model-Building

dc.contributor.authorKan, Angus
dc.date.accessioned2022-03-24T17:12:41Z
dc.date.available2022-03-24T17:12:41Z
dc.date.issued2022-03-24
dc.date.submitted2022-03-02
dc.description.abstractQuantum simulation is one of the most promising applications of quantum computers. It is anticipated that quantum simulation will accelerate scientific discovery, and advance our understanding of nature. One area that stands to benefit from quantum simulation is particle physics. This thesis contains my contributions to quantum simulation of lattice gauge theories--a well-known first-principle computational method in particle physics. The limitations of current and near-term quantum processors, such as high error rates and small number of qubits, severely restrict the size and depth of quantum circuits that can be executed with high fidelity. Tailored to these hardware constraints, short-depth variational quantum algorithms are proposed to solve small lattice quantum electrodynamics models in two spatial dimensions. The proposal is based on, and made possible by a novel lattice quantum electrodynamics model designed to lower the simulation memory overhead. There is no better time than now to understand and minimize fault-tolerant computational resource requirements of quantum simulations of lattice gauge theories so that they can be implemented sooner than later. To this end, complete gate-by-gate quantum algorithms with concrete fault-tolerant resource estimates are constructed to simulate lattice quantum electrodynamics and chromodynamics. Finally, a topological 𝜃-term, directly relevant to the strong CP problem in particle physics, in the Hamiltonian formulation of lattice gauge theories is derived for future quantum simulations. Classical numerical results suggest a phase transition due to this term in a three-dimensional U(1) lattice gauge theory. Verification of this transition, and large-scale simulations of quantum chromodynamics with a 𝜃-term will likely require a quantum computer.en
dc.identifier.urihttp://hdl.handle.net/10012/18119
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectquantum simulationen
dc.subjectquantum computationen
dc.subjectquantum algorithmen
dc.subjectlattice gauge theoryen
dc.subjectparticle physicsen
dc.subjectstandard modelen
dc.titleQuantum Computational Particle Physics: Algorithms, Resource Estimation, and Model-Buildingen
dc.typeDoctoral Thesisen
uws-etd.degreeDoctor of Philosophyen
uws-etd.degree.departmentPhysics and Astronomyen
uws-etd.degree.disciplinePhysics (Quantum Information)en
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.embargo.terms0en
uws.contributor.advisorMuschik, Christine
uws.contributor.affiliation1Faculty of Scienceen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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