I am a final-year PhD candidate in MIT’s EECS department, where my research focuses on measurement architectures for superconducting qubits. My work combines circuit design, device physics, and system-level engineering to address the performance and scalability limits of today’s quantum hardware. This has included developing directional resonators for more uniform readout, interferometric Purcell filters that eliminate the need for added components, and a new “arm qubit” architecture that enables ultrafast, high-fidelity, and high-QND readout in tens of nanoseconds.
As I complete my PhD, I’m looking forward to applying this expertise to the practical challenges of building scalable, fault-tolerant quantum hardware.
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.
