Valentine Mohaugen
Senior Physics Student
Clemson University
I study quantum computing, topological condensed matter, and quantum machine learning. My research focuses on using variational quantum algorithms to identify topological superconductor candidates and developing ML pipelines for quantum system characterization.
News
- Jan 2026 Competed at iQuHACK 2026 at MIT — built a Reed-Muller decoding-based Clifford+T circuit optimizer
- 2025 Presented NeurotiQ at NYUAD Quantum Hackathon in Abu Dhabi
- 2025 Competed in SC Quantathon v2 — quantum kernels for tornado prediction
- Jan 2025 Competed at iQuHACK 2025 at MIT — cat qubit simulation challenge
- 2024 Launched Qoffee Maker educational quantum circuit activity
- 2023 Joined the Clemson Quantum Group as undergraduate research assistant
About Me
I am a senior physics student at Clemson University. My research lies at the intersection of quantum computing, condensed matter theory, and machine learning.
On the physics side, I develop variational quantum eigensolver (VQE) frameworks to study topological superconductors via the Kitaev chain model, probing Majorana zero modes and topological phase transitions. On the ML side, I build convolutional neural network pipelines to predict Majorana zero mode visibility from nanowire conductance data and apply quantum kernels to real-world classification problems.
I am also active in the quantum computing hackathon community, with projects spanning quantum error correction, cat qubit simulation, and hybrid quantum-classical healthcare applications.
Research Highlights
Top projects by impact