Dr. Laurence Larry
D. Merkle, Research Assistant Professor
MS Thesis Advised
M.S. Thesis Committee Chair and Academic Advisor:
• Christian Grauberger, Quantum Circuit Reduction Using Three-Layer Transposition 2024
• James Wang, Group Convolutional Decoders for Toric Codes 2024
• Brett Martin, Evaluating Neural Network Decoder Performance for Quantum Error Correction Using Various Data Generation Models 2022
• Claire Badger, Performance of Various Low-Level Decoders for Surface Codes in the Presence of Measurement Error 2021
• Brenna Cole, Commuting Composition for Quantum Circuit Reduction, Dean’s Award 2021
• Brian Curran, Solving the Quantum Layout Problem for NISQ-Era Quantum Computers via Metaheuristic Algorithms 2021
• Brandon Kamaka, Quantum Transpiler Optimization: On the Development, Implementation, and Use of a Quantum Research Testbed 2020
• Jessica Switzler, NewHope: A Mobile Implementation of a Post-Quantum Cryptographic Key Encapsulation Mechanism 2020
• Marcus Catchpole, Machine Learning in Education Content Selection. 2019
• Troy Dontigney, Multi-objective Optimization of a Space Situational Awareness (SSA) System Using Advanced Algorithms. 2019
• Ian McQuaid, Autonomous GEO Track Correlation with Machine Learning. 2018
• Michael Dunn, Impact of Extracurricular Cybersecurity Education Programs for Middle and High School Students. 2018
• Brandon Froberg, Formally Verified Execution Environments on Android. 2018
M.S. Thesis Committee Member:
• Douglas, Matthew, Evaluating Learning Outcomes in a Serious Game: A Practical and Model Checking Approach 2025
• Wallace, Karli, Physically Unclonable Characteristics for Trapped Ion Quantum Processors 2024
• Christopher Chwa, Quantum Crosstalk as a Physically Unclonable Characteristic for Quantum Hardware Verification 2023
• Robert Hall, A Computational Analysis of Voltage-Controlled Majorana Zero Modes In Topological Nanowires 2024
• Charles Woodrum, Methods of Evaluating Quantum Phase Estimation Circuit Output 2023
• Seth Hyra, Coupling to Quantum Topological Order in Superconducting Qubit Systems 2023
• Simeon Hanks, Error Detection in Quantum Algorithms 2021
• Ryan Raettig, Accelerating Point Set Registration for Automated Aerial Refueling 2021
• Adrian Scheppe, Topological Realizations of Entanglish Quantum Gates 2021
• Nicolas Guerrero, Solving Combinatorial Optimization Problems using the Quantum Approximation Optimization Algorithm 2020
• Marvin Newlin, Quantitative Analysis of Evaluation Criteria for Generative Models 2020
• Graig Ganitano, Confidence Inference in Defensive Cyber Operator Decision Making 2019
• Kolby Elliott, Verifying Distributed Systems Reliability via Model Checking 2018
• Rosemberg Ortiz, Scouting in Real-Time Strategy Games: Theory, Methods, and Implementation. 2017
• Justin Dillman 2008
• Doug Morgan 2008
• Curtis A. Schmitt 2008
• Harsha V. Yarlagadda 2003-2005
• David Caswell, Active Processor Scheduling Using Evolutionary Algorithms. 2002
• Steve Michaud, Solving the Protein Structure Prediction Problem with Fast Messy Genetic Algorithms. 2001
• Karl Deerman, Protein Structure Prediction Using Parallel Linkage Investigating Genetic Algorithms.