William Zeng is a partner at Quantonation who invests in early-stage physics and compute technologies, bringing a PhD in computer science (Oxford), a BSc in physics (Yale), and 12+ years of hands-on quantum engineering and product leadership. He was an early Rigetti engineer who built calibration and control software and led Quantum Cloud Services, later running Advanced Computing R&D at Goldman Sachs to evaluate ASICs and quantum approaches for finance. As founder of the Unitary Foundation and a contributor to key open-source projects like pyQuil and Mitiq, he blends algorithm design, error-mitigation testing across PyQuil/Qiskit, and QA/build tooling to help grow the quantum ecosystem. He also teaches and advises—having taught a Stanford quantum programming course and serving on boards at Diraq and TAU Systems—so he straddles research, product, and investing with uncommon technical depth.
A Python library for quantum programming using Quil.
Role in this project:
Back-end Developer
Contributions:6 releases, 70 commits, 79 PRs in 2 years 2 months
Contributions summary:Will primarily contributed to the pyQuil library, focusing on improving the core functionality. They removed a Sphinx extension, implemented a `.pop` method for instruction handling, and added corresponding tests. Additionally, the user merged a branch related to running Quil scripts and made substantial modifications to Pauli algebra-related files, including the implementation of a Meyer-Penny game example. This demonstrates the user's involvement in both program structure and quantum computing algorithm design within the library.
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
Role in this project:
Backend & QA Engineer
Contributions:15 reviews, 46 commits, 47 PRs in 11 months
Contributions summary:Will primarily contributed to the testing framework of the project, specifically adding support for testing with the PyQuil and Qiskit frameworks. The user implemented and tested error mitigation techniques within these frameworks. Furthermore, the user updated the project's build configurations, including versioning and dependencies, suggesting a role in quality assurance and build processes.
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