PhD Student I am a third year PhD student working in the Center for Simulational Physics in the Stancil group, focusing on quantum simulation of chemical dynamics. My quantum algorithms employ VQE for state preparation and use a variational fast-forwarding approach to compress terms of the trotterized Hamiltonian, optimized by a quantum-assisted quantum compiling approach. The algorithms themselves are largely hardware-agnostic, with small-scale implementations in supporting literature applied on PQCs and SCQCs. The goal of my research is to develop chemical dynamics algorithms that can be applied on NISQ-era quantum computers and effectively exploit distributed network architectures. Personal interests include graph-theoretic representations of qubit networks and topological changes that come with various qubit modalities, as well as broader applications of RMT in quantum information. Future directions for my research are the adaptation of SU(2) gauge theory in quantum simulation and quantum-initialized Hessians for hybrid cost function optimizations. I love to exercise, primarily in the form of resistance training. I play jazz and classical music on my electric bass and '00s-'20s indie rock on guitar. My other time is spent writing a book culminating information on over-the-counter dietary supplementation, with my perspective weighted by a deep passion for the accessibility of unbiased information for everyone. I advocate for highly measured use of generative pre-trained and actively-trained learning models and work to encourage high scientific literacy by means of directed diligent study. As a scientist, I want to encourage others to seek primary research and meta-analyses, with critical consideration predicated on epistemologies from mathematical and natural philosophers akin to Charles Peirce. Science has been most of my life. My previous research focuses on fisheries ecology with my first peer-reviewed publication being in the Fisheries & Aquaculture Journal when I was 12. Although I pivoted to physics during my undergraduate studies, ecological statistics remains a special area to which I hope to contribute in the future. Education Education: B.S. Physics, University of Georgia 2022 Interests: Quantum computing simulation of chemical dynamics. My current work employs VQE for state preparation and uses a variational fast-forwarding approach to compress terms of the trotterized Hamiltonian, optimized by a quantum-assisted quantum compiling approach. The algorithms themselves are largely hardware-agnostic, with small-scale implementations in supporting literature applied on PQCs and SCQCs. The goal of my research is to develop chemical dynamics algorithms that can be applied on NISQ-era quantum computers and effectively exploit distributed network architectures. Other interests include graph-theoretic representations of qubit networks and topological changes that come with various qubit modalities, as well as broader applications of RMT in quantum information. Future directions for my research are the adaptation of SU(2) gauge theory in quantum simulation and quantum-initialized Hessians for hybrid cost function optimizations. Degree Completion Date: Sun, 05/30/2027 - 12:00pm Dissertation/Thesis Title: Constructing Potential Energy Surfaces for Molecular Dynamics on Quantum Computers Awards, Honors and Recognitions Of note: Outstanding Teaching Assistant Award -- UGA Center for Teaching and Learning, April 2025
