- Benchmarking Quantum Simulators using Quantum Chaos
- Benchmarking highly entangled states on a 60-atom analog quantum simulator
- A Maximum Entropy Principle in Deep Thermalization and in Hilbert-Space Ergodicity
- Universal fluctuations and noise learning from Hilbert-space ergodicity
- Efficiently measuring d-wave pairing and beyond in quantum gas microscopes
- Measuring Arbitrary Physical Properties in Analog Quantum Simulation
Research Experience
Builds tools and works on problems in quantum simulation, involving ideas from all over physics (quantum information and condensed matter physics, but also quantum optics, quantum field theory and beyond). The type of data generated by quantum devices is intrinsically high-dimensional yet highly structured, opening the door to using tools from statistics, optimization, signal processing and beyond.
Education
Started PhD at MIT in Fall 2020, advised by Prof. Soonwon Choi. Previously attended Caltech from 2016-2020, earning degrees in physics and mathematics, mentored by Prof. Olexei (Lesik) Motrunich.
Background
PhD student working in quantum science and technology, specifically interested in using modern quantum devices for discoveries in basic science. Particularly interested in quantum simulators (especially analog!) which are at an exciting point of being large, well-controlled, and flexible enough to simulate models of interest in regimes never before possible.
Miscellany
Helps run iQuISE organization (and seminar series), engageCUA outreach organization, MIT Lindy Hop Society, and MIT Tango Club