About Me
I am a Stamps President's Scholar at the Georgia Institute of Technology. I study computer science, with concentrations in theory and artificial intelligience. Additionally, I am working towards two minors, one in mathematics and one in physics.
I hope to obtain a PhD and pursue a career in academia, with a focus on algorithms for novel architectures. Presently, my research interests lie in quantum information science and applying quantum algorithms to physical sciences.
Papers
Lee, M., Song, Z., Kocherla, S., Adams, A., Alexeev, A., & Bryngelson, S. H. (2024). A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method. arXiv:2406.06323 [Quant-Ph]. https://arxiv.org/html/2401.12248v3
Lee, M. (2023). Preliminary results of applying modified MSA algorithm on Quantum Annealers (MAQ). The Journal of Computational Science Education, 14(1), 31–40. https://doi.org/10.22369/issn.2153-4136/14/1/5
Lee, M. (2022). The Beauty of Nature-Inspired Computing. Broad Street Scientific Research Journal, 11. https://broadstreetscientific.ncssm.edu/Essay2022.pdf
Musti, A., & Lee, M. (2022). A Student’s Guide to Quantum Computing. Independently Published. [Link]
Projects
Modifications to the Quantum Lattice Boltzmann Method Algorithm (Ongoing)
Researching methods for gate reduction on the quantum lattice Boltzmann method.
Mentored by Computational Physics @ GT lab directed by Dr. Spencer Bryngelson.
Simulating Quantum Noise Models For Circuit Optimization (Ongoing)
Designing circuit generator using machine learning for optimization of quantum circuits, with iterative refinement of model accuracy and reliability via evaluation of feedback from noise data gathered from running candidate circuits.
Investigating limitations of current hardware in simulating circuits using cuQuantum and Qiskit.
Mentored by Dr. Aaron Jezghani and Dr. Jeffrey Young, as a part of the Vertically Integrated Program (VIP) Rogue Gallery.
Quantum-Driven Learning with Oblivious Amplitude Amplification (Ongoing)
Developing proof-of-concept of quantum learning via oblivious amplitude amplification using Julia and YaoBlocks.
Mentored by Niklas Pirnay at the Technische Universität Berlin.
Quantum Dictionaries with Studies on the Walsh-Hadamard Transform
Investigated implementations of quantum dictionaries under the guidance of Dr. Ákos Nagy.
Programmed functions for optimization of quantum dictionary construction using Python and Numpy.
Selected for the Quantum Open Source Foundation mentorship program.
Applying Modified Multiple Sequence Alignment Algorithm on Quantum Annealers
Modified multiple sequence alignment algorithm in an independent research project under the Research of Computational Science Program at NCSSM.
Published final research paper in the Journal of Computational Science Education as first author, https://doi.org/10.22369/issn.2153-4136/14/1/5.
Authored and published an essay on “The Beauty of Nature-Inspired Computing”, relating to quantum-inspired algorithms, in the Broad Street Scientific Journal.
Orbital Debris Solutions - Skyfall
Recipient of $10k grant from the NASA Project Writing & Evaluation Experience program, alongside a team of eleven individuals.
Managed project logistics, oversaw meetings and authorship of the NASA NTR, and investigated solutions to orbital debris removal.
Writing & Activities
I write content for Q-munity Tech. My past work include, but are not limited to:
Regular blog posts on quantum information science developments, educational resources, and applications. A few select articles are included below.
Creation of quantum computing courses and resources.
Featured courses are included below. Several are written in collaboration with other members of the Q-munity Tech team.
I am currently leading the development of a business-oriented course for companies looking to get involved with the quantum industry.
Additionally, I am editor-in-chief of The Tower Undergraduate Research Journal at Georgia Tech. Access our website here.
