Matthew Silverman is a software developer with nine years of experience building production-grade systems, currently focused on PennyLane Cloud at quantum computing firm Xanadu. He brings backend expertise from roles at Shopify’s Network Foundations team and hands-on systems work from developing an on-board computer for a University of Toronto satellite project. Matthew contributes to the popular open-source PennyLane library, improving core operator representations and internal tooling—demonstrating comfort with low-level library internals and docs. His background includes internships at Intel and applied research building an Android biofeedback app for pediatric gait rehab, reflecting a blend of industry-scale engineering and human-centered research. With a strong academic record in computer engineering (U of T, 3.82 GPA), he combines rigorous technical foundations with practical experience shipping cloud-hosted developer environments for emerging quantum software.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, CGPA: 3.82, Bachelor’s Degree, Computer Engineering, CGPA: 3.82 at University of Toronto
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Role in this project:
Back-end Developer
Contributions:2 releases, 1892 reviews, 151 commits in 9 months
Contributions summary:Matthew's contributions primarily involve modifying the PennyLane library's internal workings and documentation. They made changes to the core functionality, such as updating the way the library calls pip, as well as enhancing the way operators are represented. The user also addressed documentation issues, fixing fourier docs, and adding improvements to representation methods within the codebase. The user demonstrates experience in internal library operations.
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