I’m a final-year PhD candidate in MIT’s EECS department, where I focus on developing faster and more scalable ways to measure superconducting qubits. My research brings together circuit design, device physics, and system-level engineering to address some of the biggest bottlenecks in quantum computing hardware.
The projects I’ve led balance fundamental physics with practical engineering, each targeting real scaling challenges:
- Directional readout resonators that improve uniformity and scalability
- Interferometric Purcell filters that reduce overhead through built-in interference
- Arm qubit measurement — a new architecture enabling high-fidelity, high-QND readout in tens of nanoseconds
As I approach graduation next year, I’m excited to apply this experience in industry, contributing to the development of large-scale quantum systems that can move beyond the lab and bring fault-tolerant quantum computing closer to reality.
Research Projects
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High-fidelity, high-QND qubit readout in tens of nanoseconds.
Built-in suppression of spontaneous emission in a planar architecture.
A superconducting resonator that directionally emits measurement photons encoded with qubit information.
A 220-320 GHz waveguide made from a silicon wafer.
A new and improved low-power op amp in a 180nm CMOS process.
Two-wheeled self-balancing robot using spiking neural networks and evolutionary optimization.
Driver recognition using RCNN, GAN, HDR imaging, and image fusion.
Experience
PhD Student
MIT
Designing superconducting quantum hardware for fast, high-fidelity operations, enabling scalable quantum error correction.
Undergraduate Researcher
University of Tennessee, Knoxville
Specialized in RF/analog circuit design and electromagnetic simulation.
Design Intern
Garmin International
Designing power electronics and RF circuits for Aviation and Avionics Group.
Undergraduate Researcher
TENNLab Research Center
Designed and built the fully neuromorphic two-wheeled, self-balancing robot.
Research Intern
Oak Ridge National Laboratory
Specialized in facial recognition and computer vision. Designed and implemented fast-moving vehicle security portal.
