Matthew Neeley is a software engineer with 18 years of experience applying physics and software to real-world quantum and embedded systems, currently building superconducting quantum hardware control at Google Quantum AI in Goleta. He holds advanced degrees in physics from UC Santa Barbara and brings research-grade expertise in superconducting qubits from MIT Lincoln Laboratory and his graduate work. At Google he translates complex hardware requirements into reliable control software, and earlier roles at Nest and startups reflect strong product-minded engineering across hardware-software boundaries. An active contributor to prominent open-source quantum projects like Cirq and qsim, he has improved simulator packaging, refactored core protobuf and measurement-handling code, and expanded gate and scheduling flexibility. Matthew combines deep domain knowledge in quantum devices with pragmatic software craftsmanship, evidenced by attention to package quality, imports, and utility APIs that help move quantum research toward usable tools. Colleagues can expect a blend of experimental rigor and production-focused engineering that bridges lab prototypes and scalable software.
18 years of coding experience
4 years of employment as a software developer
MS, PhD, Physics, MS, PhD, Physics at UC Santa Barbara
Bachelor of Science, Physics, Bachelor of Science, Physics at Stanford University
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Role in this project:
Back-end Developer
Contributions:569 reviews, 198 commits, 256 PRs in 4 years 11 months
Contributions summary:Matthew primarily contributed to the Cirq library by modifying existing code and adding new features. Their work included refactoring code related to the handling of protobuf code and the addition of new methods for handling measurement keys, and making circuit and schedule operations more flexible. The user also implemented several utility functions and worked on adding support for new gates, demonstrating a focus on expanding the capabilities of the quantum computing framework.
Fast C++ and Python library for state-vector simulation of quantum circuits.
Role in this project:
Back-end Developer
Contributions:17 reviews, 20 commits, 11 PRs in 1 year 3 months
Contributions summary:Matthew primarily contributed to the development of the QSim simulator. Their work involved adding a `.py.typed` file and including it in the published package, demonstrating an understanding of package management. They also focused on refactoring the code by removing print statements, importing and utilizing `cirq` modules instead of submodules, and fixing import references. This indicates a focus on improving code quality and integrating existing libraries for quantum circuit simulation.
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