Zy Niu
Head Of AI at Xanadu
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolZy Niu is Head of AI at Xanadu, leading cross-functional teams to build ML-driven tools that accelerate, automate, and scale R&D in moonshot research environments. With five years of industry experience and a multidisciplinary foundation from the University of Toronto, Zy blends deep learning, generative AI, and agentic systems expertise with hands-on knowledge of quantum computing, semiconductor design, photonics, and quantitative finance. He has contributed to high-profile open-source quantum tooling—enhancing PennyLane’s circuit-cutting pipeline by integrating KaHyPar graph partitioning to enable larger circuit workloads on smaller devices. Zy excels at translating research-grade ideas into production-ready infrastructure, balancing exploratory science with pragmatic engineering trade-offs. Colleagues describe him as a leader who fosters technical cross-pollination across domains and drives measurable R&D productivity gains.
5 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at University of Toronto
Github Skills (11)
quantum-computing10
q-learning10
python10
optimization9
autograd9
machine-learning9
differentiable-programming9
automatic-differentiation9
networkx8
pytorch8
tensorflow8
Programming languages (2)
Github contributions (5)
PennyLaneAI/pennylane
Feb 2022 - Aug 2022
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Role in this project:
ML Engineer
ML EngineerContributions:69 reviews, 12 commits, 16 PRs in 5 months
Contributions summary:Zy primarily contributed to the `qcut` module, focusing on circuit cutting optimization techniques within the PennyLane quantum computing library. Their work involved implementing and integrating the KaHyPar graph partitioning algorithm for automated circuit cutting, enhancing the library's ability to handle large quantum circuits on smaller devices. The user's commits introduced and refined classes and functions like `CutStrategy` and `kahypar_cut`, facilitating the decomposition of circuits and improving the efficiency of quantum computations. Additional contributions included bug fixes and improvements to the cutting pipeline.
pythonautomatic-differentiationdifferentiable-computingcomputerstensorflow
zeyueN/take-me-away
Nov 2024 - Dec 2024
Contributions:10 pushes, 1 branch in 1 month
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