Abeer Vaishnav
Quantum Hardware Engineer at Google
Santa Barbara, California, United States
Summary
👤
Senior🎓
Top SchoolAbeer Vaishnav is a Quantum Hardware Engineer with eight years of experience building and simulating superconducting and photonic quantum devices, now at Google Quantum AI after hands-on roles at Atlantic Quantum and Duke University. She blends physics, electrical engineering, and software skills—contributing to Qiskit projects by implementing quantum algorithms and 3D vector utilities for qiskit-metal—to accelerate hardware design and simulation workflows. Her work spans FEM-based EM simulation integration, metasurface fabrication, and automating iterative hardware design cycles, with validated cross-tool results against commercial solvers. Abeer’s background in performing arts and early public singing performances adds an unusual creative edge to her technical communication and outreach, exemplified by founding CIRQuIT to grow quantum literacy.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering - Quantum Computing, Master of Science - MS, Electrical and Computer Engineering - Quantum Computing at Duke UniversityBachelor of Engineering - BE, Computer Science and Engineering, Bachelor of Engineering - BE, Computer Science and Engineering at RV College Of EngineeringHigher Secondary School, Higher Secondary School at Delhi Public School Bhopal
Github Skills (15)
algorithm10
vector10
unit-testing10
quantum-computing10
algorithms10
jupyter-notebook10
qiskit10
python10
implement10
numpy10
math9
simulation-modeling9
mathematics9
eda8
image-processing8
Programming languages (12)
Github contributions (5)
qiskit-community/qiskit-metal
Jun 2022 - Nov 2022
Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 reviews, 67 commits, 11 PRs in 5 months
Contributions summary:Abeer primarily contributed to the development of the qiskit-metal library by adding and refining vector classes and associated methods within the `qiskit_metal.draw.utility` module. Their work included implementing 3D vector operations, such as normalization, addition, dot products, and cross products. They also added unit tests to validate the functionality of these newly added vector methods and fixed bugs. Furthermore, the user added docstrings for methods and implemented the `snap_unit_vector` method.
scientistsgdsqiskitdevicequantum-computing
qiskit-community/qiskit-textbook
May 2021 - Jul 2021
[ARCHIVED] A university quantum algorithms/computation course supplement based on Qiskit
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:19 commits, 1 PR, 7 comments in 1 month
Contributions summary:Abeer contributed significantly to the Qiskit textbook repository by adding and modifying a Jupyter Notebook related to quantum edge detection. The primary focus was on explaining and implementing the Quantum Hadamard Edge Detection (QHED) algorithm using the Qiskit library. The commits demonstrate the user's ability to integrate mathematical concepts, code, and visualizations to explain the algorithm.
computationqiskit-textbookquantum-mechanicsquantum-computingsupplement
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