Department
Computer Science
Major
Computer Science
Research Advisor
Banerjee, Avah
Sharma, Asim
Advisor's Department
Computer Science
Second Advisor's Department
Computer Science
Abstract
Our study examines the integration of non-Clifford T gates into randomly generated Clifford circuits to enhance their universal unitary capacity. We investigate the impact of T gates on circuit output randomness, focusing on generating random Clifford circuits and analyzing the effects of T gates. Through simulations and analysis, we assess the effectiveness of this modification in achieving outputs consistent with Anti concentration properties while minimizing the required number of Clifford gates. Our findings provide valuable insights into quantum circuits, with implications for quantum computing applications.
Biography
Matthew Dominicis is a Junior in Computer Science graduating in May 2025. His interests lie in the fields of Artificial Intelligence and Quantum Computing. He participated in the 2023-2024 OURE cohort, where he did research under Dr. Avah Banerjee studying the theory of Quantum Computation. In his free time, he conducts research, spends time with organizations including the Eta Kappa Nu honors society, the Society of Hispanic Professional Engineers, the Google Developer Student Club, and works part-time as an intern at Worldwide Technology.
Mason Toombs is a senior double majoring in Physics and Computer Science and will graduate in May of 2024. After graduation he plans to attend graduate school in order to pursue a career in quantum computing technology. Mason is participating in OURE and is a member of Missouri S& T's Honors Academy. He serves as the Aerial Swing Dance Club's President and as one of its dance instructors, alongside being the Perfect 10 improv Troupe's Treasurer with previous experience in serving as the troupe's Vice President. He has work experience through his internship at Southwest Research Institute during the summer of 2023, and will work at Garmin for his next internship this summer.
Gabriel Riddle is a third-year physics student. His past research includes a FYRE project, an OURE project, and a summer internship, all focused on Nuclear Magnetic Resonance spectroscopy research in the chemistry department with Dr. Woelk. He also completed an internship with Dr. Banerjee in the computer science department. Additionally, Gabriel is involved in an OURE project, both pertaining to the theory of quantum computation. Gabriel is a member of the Honors Academy and a Kummer Vanguard Scholar. He serves as a physics tutor and has consistently made the dean's list every semester. In his spare time, he enjoys writing poetry, playing Dungeons & Dragons, and training in various physical disciplines, including heavyweight training and aikido.
Parineeta Puja Saha is a Junior with a major in Computer Science and a minor in mathematics. She is soon to graduate in December of 2025. She is currently doing research under Dr. Avah Banerjee for OURE and her main focus of topic is theory of Quantum Computation. In her free time, she enjoys reading and photography. She is also a member of SWE (Society of Women Engineers) and attended the national SWE conference in Fall of 2023. She is also an active member of the International Student Club (/SC) as a financial officer and hosted /SC day in May 2023. She currently works for the IT Help Desk as her part time job for Missouri S& T.
Research Category
Sciences
Presentation Type
Poster Presentation
Document Type
Poster
Award
Science Poster Session (Group) - Third Place
Location
Innovation Forum - 1st Floor Innovation Lab
Presentation Date
10 April 2024, 1:00 pm - 4:00 pm
Mason Toombs.pdf (527 kB)
Gariel Riddle.pdf (537 kB)
Parineeta Puja Saha.pdf (425 kB)
Application of T Gates for Anti-concentration in Clifford Circuits
Innovation Forum - 1st Floor Innovation Lab
Our study examines the integration of non-Clifford T gates into randomly generated Clifford circuits to enhance their universal unitary capacity. We investigate the impact of T gates on circuit output randomness, focusing on generating random Clifford circuits and analyzing the effects of T gates. Through simulations and analysis, we assess the effectiveness of this modification in achieving outputs consistent with Anti concentration properties while minimizing the required number of Clifford gates. Our findings provide valuable insights into quantum circuits, with implications for quantum computing applications.
