Research

my research but more descriptive.

now

I’m currently researching various quantum problems at the Johns Hopkins University Applied Physics Laboratory. Below is a high-level overview of my current work:

  • Efficient scaling of Holographic Quantum Circuits
  • Quantum Advantages for various Computational Fluid Dynamics (CFD) problems
  • Quantum for Position Estimation
  • Holographic Quantum Error Decoders

previously

I have completed a lot of other really different projects at UIUC and JHU APL. Below is my research progression detailed from my freshman college year till now.

In my freshman year, I joined Professor Alexey Bezryadin’s lab, where I began investigating generalized Josephson Junction superconducting quantum inteference devices, aka JJ-SQUIDs. I first developed a critical current 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 multiple nanowire superconducting quantum interference devices (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 Charge-Parity-Time symmetry from Particle Physics. 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!

I then began my summer research internship at the Johns Hopkins University Applied Physics Laboratory, studying holographic quantum tensor networks with Dr. Michael Wall. 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. I was rehired for my junior year to work on quantum compilation problems.

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

For this summer, I went back to APL to finish up and publish my projects. See “now” for my current research projects at APL.

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)