Thesis and Dissertation Defenses
Quantum Computation Using Large Spin Qudits
Presented by Sivaprasad Omanakuttan
This dissertation explores quantum computation using large spin qudits, emphasizing the concept of quantum co-design to harness the unique capabilities of physical platforms for enhanced quantum information processing. Firstly, we delve into the generation of high-fidelity universal gate sets for quantum computation with qudits. Leveraging principles from quantum optimal control, Rydberg physics, and the atomic structure of alkaline-earth atoms, we propose protocols for high-fidelity universal gate sets in the ground state of Strontium atoms with reasonable experimental parameters. Next, we analyze how one can encode a qubit in the large spin qudits for fault-tolerant quantum computation(FTQC).
By comprehending the most dominant noise in the physical system, we develop FTQC protocols that capitalize on stringent requirements, surpassing standard protocols. Finally, considering spin qudits as a physical platform for neutral atom quantum computation, we tackle the challenge of quantum information loss (leakage errors) during computation.
Our approach involves converting all leakage errors to erasure errors resource efficiently. Also, we developed cooling methods for neutral atoms without destroying the quantum information stored in spin-qudits, a pivotal aspect for realizing fault-tolerant quantum computation in these platforms
4:00 pm, Wednesday, March 20, 2024
PAIS-2540, PAIS
Individuals with disabilities who need an auxiliary aid or service to attend or participate in P&A events should contact the Physics Department (phone: 505-277-2616, email: physics@unm.edu) well in advance to ensure your needs are accomodated. Event handouts can be provided in alternative accessible formats upon request. Please contact the Physics front office if you need written information in an alternative format.
A schedule of talks within the Department of Physics and Astronomy is available on the P&A web site at http://physics.unm.edu/pandaweb/events/index.php