Mudit Pandey
Summary
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RockstarMudit Pandey is a Senior Quantum Software Developer at Xanadu in Toronto with six years of hands-on experience building quantum software in Python, primarily on the PennyLane quantum machine learning library. He has a BASc in Computer Engineering with a minor in Physics from UBC and a track record of shipping core backend features—most notably extending PennyLane to support qutrit operations and mixed-polarity controls. Comfortable bridging research and production, he has progressed through multiple engineering levels at Xanadu while contributing device tests and new quantum primitives that broaden PennyLane’s multi-level system capabilities. Based in Old Toronto, he pairs rigorous engineering with a curiosity for physics-informed software design, and outside work he stays disciplined through regular workouts and recreational sports. An interesting detail: his contributions helped PennyLane handle qutrit systems, a niche but growing area that enables richer quantum algorithms beyond qubits.
7 years of coding experience
Github Skills (12)
quantum-computing10
lan10
ane10
pytest10
python10
numpy10
testing10
linear-algebra9
q-learning8
automatic-differentiation8
autograd7
quantum-chemistry7
Programming languages (4)
Github contributions (5)
PennyLaneAI/pennylane
Jun 2022 - Jan 2023
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:
Backend Developer & Quantum Computing Specialist
Backend Developer & Quantum Computing SpecialistContributions:5 releases, 3081 reviews, 83 commits in 7 months
Contributions summary:Mudit focused on implementing core functionality for a quantum computing library. Their work involved adding and testing new qutrit-based operations, including the QutritUnitary, TShift, TClock, TAdd, and TSWAP, and integrating them within the PennyLane framework. They also added tests for qutrit devices and implemented mixed-polarity controls. The user contributed significantly to expanding the library's capabilities to handle qutrit systems.
machine-learningquantum-algorithmsquantum-chemistryquantum-computingquantum
mudit2812/pennylane
May 2022 - Mar 2026
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Contributions:3 reviews, 21 PRs, 657 pushes in 3 years 10 months
differentiable-programmingneural-networkpython
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