Hello and welcome to my website. Below you'll find my porfolio of projects. Professional inquiries may contact me at eliaslehman@berkeley.edu.
Resume | LinkedIn

About Me

Elias A. Lehman was born in Berkeley, California and raised in El Cerrito, just ten minutes north. Between 2014 and 2018, he took several life science courses at UC Berkeley, beginning his journey on campus. In 2020, UC Berkeley became Elias's formal academic institution. He received his Bachelors in Physics with a minor in Electrical Engineering and Computer Science in 2024. He continues to live in the San Francisco Bay Area.

Elias is currently working with the Advanced Quantum Testbed at Lawrence Berkeley National Laboratory to design peripheral devices for their superconducting quantum computers. In his free time, Elias enjoys cycling and cooking.

Projects

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A homework assignment for EE230: Solid State Electronics. The python notebook solves the first 10 energy levels in different directions of a face-centered cubic (FCC) crystal lattice given the lattice Hamiltonian parameters. The used parameters are for the Galium-Arsenide crystal.
EE230 - FCC Energy Level Simulation
Notebook
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The final report for EE230 -- analysis of an experiemental MoS2 transistor using models with a range of complexity.
EE230 - Final Report
Report
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While at the Institute for Quantum Computing in Waterloo, Ontario I wrote several suplemental reports to assist the Lupascu group in their research of superconducting qubits.
IQC Internship
Summary Report
Circuit Mapping (Supplemental)
Decoherence (Supplemental)
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This paper, written in the Summer of 2023 in collaboration with SLAC National Labs, is awaiting admission to the Astrophysical Journal (APJ).
SLAC Internship
Preprint
Poster
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An enjoyed lab report from my final physics course. The report discussed introductory properties of chaos theory and non-linear dynamics.
Adv. Exp. Phys. Lab Report
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The final project for CS191: Quantum Information Science and Technology. I worked on a synopsis of the Transmon qubit, heavily inspired by the 2007 Koch et al. paper.
QIS Final - Transmon Review
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A project done in Winter 2022 with the Quantum Open Source Foundation. Our team implemented an adaptive gradient descent for hybrid quantum-classical computing using IBM's qiskit library in Python.
Quantum Open Source Foundation - Adaptive Gradient Descent
Slides
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I delivered this poster presentation as a final deliverable for the Berkeley Physics Undergraduate Research scholarship.
BPURS - Graphene Transistor Fabrication
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