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PhD in Quantum Science & Engineering - Theoretical Physics

Harvard University, Cambridge, MA

• Activities and societies: Harvard Quantum Initiative

Bachelor of Arts in Physics

Cornell University, Ithaca, NY

• Magna Cum Laude
• Selected coursework
  • Quantum Information Processing, Blackholes & Quantum Information (Grad), QFT (Grad), Solid State Physics, Applied Functional Analysis (Grad).

Summer Undergraduate Research Fellow

Caltech Institute For Quantum Information And Matter

Advisor(s): John Preskill

Co-advisor(s): Sepehr Nezami

• Supported by the Caltech Summer Undergraduate Research Fellowship.
• Gave a talk at the MURI Annual Meeting 2021: Quantum Codes, Tensor Networks, and Quantum Spacetime.
• Studied the effects of noise on ‘quantum gravity in the lab’ experiments, based on https://arxiv.org/abs/2102.01064. Using quantum information and random matrix theory, predicted unexpected noise-resilience caused by special operator-scrambling behavior. Developing a quantum error correction strategy that restores the teleported state to its noiseless form.

Undergraduate Researcher

Cornell University

Advisor(s): Paul Ginsparg, Peter McMahon

Co-advisor(s): Eliott Rosenberg, Thomas Hartman

• Implemented a quantum algorithm to prepare thermofield double states of the Sachdev–Ye–Kitaev (SYK) model. This algorithm consisted of the Jordan-Wigner transformation and an adiabatic, trotterized Hamiltonian simulation of SYK. Developed methods for measuring the von Neumann and Rényi entropies of such systems.

Undergraduate Researcher

Cornell University

Advisor(s): Peter McMahon

Co-advisor(s): Logan Wright

• Created and simulated a circuit-model quantum reservoir ML algorithm. Discovered that it is equivalent to a dual classical neural network, where the layer size grows exponentially with its depth.
• Simulated ‘noise-resilient quantum circuits’ which are ‘Markovian’ and ‘locally rapidly mixing’. Created methods to diagnose and catalogue circuits with these properties. Found tensor network descriptions of the same phenomena which provided elegant analytic tools.
• Mentored undergrads in Peter McMahon’s group who are working on quantum machine learning projects.

Software Developer

Cornell Design & Tech Initiative

• Software developer for DTI, an engineering project team at Cornell.

Software Developer Intern

Xifn, Inc.

• Software architect intern at Xifn, a company that automates healthcare financial processing.