Summary
Sarah Muschinske is a quantum research scientist with a decade of experience building and characterizing quantum hardware, currently focused at Amazon on fault-tolerant quantum computing. Her trajectory spans a PhD in EECS at MIT and hands-on work designing mid-scale superconducting qubit arrays and control infrastructure for analog quantum simulation, including leadership of a 21-qubit system effort. She brings deep device-level expertise from prior work in quantum photonics, NV-center sensing, and semiconductor epitaxy, paired with practical industry internships at Apple and Texas Instruments. Beyond research, she has taught courses on noise and generative models and helped broaden access to quantum computing through high-school outreach, signaling a commitment to both education and translational impact. Notably, she blends multi-level qudit exploration with near-term analog/digital-analog algorithms, a less common but promising path toward useful NISQ-era applications.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Massachusetts Institute of Technology
Master of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at The University of Texas at Austin
Dual Credit, Dual Credit at Houston City College
Dual Credit, Dual Credit at University of Illinois Urbana-Champaign
Spanish, English, Polish, Portuguese