Research

my research but more descriptive.

now

I’m working on quantum compilation problems at the Johns Hopkins University Applied Physics Laboratory. I will also start several other quantum algorithm projects soon.

previously

I have completed a lot of other really different projects at UIUC. Below is my research progression detailed from my freshman year (college) till now. (kinda, except for my APL work)

In my freshman year, I investigated a many Josephson tunnel junction superconducting quantum inteference device, aka JJ-SQUIDs. I first developed a critical model of this device. Then, I published a python package to investigate the effects of fabrication disorder in JJ-SQUIDs and also found several rotational symmetries. I documented my work in an informal write-up, technically my first paper ish. Later, I built an inverse JJ-SQUID tool that approximates the JJ-SQUID geometry given experiment data. This tool is now in use by other UIUC physics research groups. I was also the first person in my lab to revive a broken time-resolved circuit-qed measurement setup, allowing for new types of measurements to be done.

In my sophomore year, I investigated a multiple nanowire superconducting quantum interference device (MW-SQUID), which are metastable. In my first paper, I conducted an in-depth analysis of the metastable properties of MW-SQUIDs. I generalized the little parks effect and proved a isomorphism between the MW-SQUID’s symmetry and the particle physics Charge-Parity-Time symmetry. In my second paper, I showed that breaking space and time symmetry in the MW-SQUID always produces superconducting diodes. Actually, a perfect diode can arise too!

In my junior year, I investigated hardware applications of nanowires. I published a third paper on developing a transmon qubit from nanowires. This solves a 20 year problem in the nanowire community. We also filed a patent for this concept. I am still in my junior year.

I also research quantum algorithms and compilation at the Johns Hopkins University Applied Physics Laboratory for holographic quantum tensor networks. I developed and implemented a holographic generative quantum machine learning algorithm (based on this paper), investigated quantum annealing for high dimensional QUBO problems, and also attempted to use reinforcement learning for quantum compilation purposes. I was selected (4/400 interns) to present my project to APL leadership. My work is on going, see “now”.

presentations

  • "Superconducting Quantum Interference in Nanowire Networks for Digital and Quantum Logic" @ APS Global Summit ( poster )
  • "Using AdS/CFT for better Quantum Computing" @ UIUC Undergraduate Physics Seminars ( slides )
  • "Multiple Nanowire Superconducting Quantum Interference Devices: Symmetries, Critical Currents, and Diode Effect" @ Chicago Quantum Exchange ( poster )
  • "Holographic Quantum Tensor Networks and Quantum Annealing" @ Johns Hopkins Applied Physics Lab (deliverables not included)
  • "Model Fitting Algorithm for disordered Josephson Junction Arrays" @ UIUC Engineering Symposium ( poster )
  • "Efficient Cryogenic Low Invasive Propellant Supply Exchange" @ NASA Marshall Space Flight Center ( slides | poster )
  • "Analyzing Disorder and Symmetries in random Josephson Junction Arrays" @ UIUC Undergraduate Research Symposium ( poster )

other stuff

  • Critical current model of many Josephson Junction Array (code)
  • Python package used to analyze fabrication disorder (link)
  • Critical current model of many nanowire SQUID (code)
  • Inverse design solver for many Josephson Junction Array (code)
  • Technical report submitted to 2025 NASA Human Lander Challenge (link)
  • Proposal rendered video submitted to 2025 NASA Human Lander Challenge (link)