Shahnawaz Ahmed
Deep Learning Researcher at Embedl
Gothenburg, Sweden
Summary
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Rockstar🎓
Top SchoolShahnawaz Ahmed is a deep learning researcher with 11 years of experience specializing in model optimization for edge deployment—quantization, neural architecture search, and compression—bringing research rigor from a PhD in applied quantum physics. His doctoral work fused quantum information and machine learning, producing novel tools like adversarial networks for quantum tomography and Riemannian optimization for quantum process learning, and resulted in publications in high-impact journals such as Nature Communications and PRL. He is an active open-source contributor and core maintainer of QuTiP, has improved testing infrastructure for PennyLane, and has mentored multiple Google Summer of Code projects, reflecting a strong commitment to reproducible scientific software. Shahnawaz has collaborated with experimentalists to create non-classical photonic states (GKP and CAT) and continues to bridge quantum ML and practical deep-learning model deployment through his role at Embedl and ongoing collaboration with Xanadu. Notably, his background includes both simulation and hands-on quantum experiments, giving him a rare blend of theoretical, experimental, and production-focused software expertise.
11 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceSenior Seconday, PHYSICAL SCIENCES, 10, Senior Seconday, PHYSICAL SCIENCES, 10 at Don Bosco School, GuwahatiDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Chalmers University of Technology
English, Hindi, Bengali, Assamese, Swedish
Github Skills (18)
quantum-mechanics10
scipy10
pytest10
python10
toolbox10
testing10
machine-learning10
diffusion-mri10
qutip10
quantum-computing10
linear-algebra10
scientific-computing10
sparse-matrix9
automatic-differentiation9
cython9
Programming languages (11)
Github contributions (5)
qutip/qutip-notebooks
May 2018 - Jun 2021
A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.
Role in this project:
Data Scientist
Data ScientistContributions:2 reviews, 30 commits, 15 PRs in 3 years 1 month
Contributions summary:Shahnawaz added a new notebook demonstrating quantum state tomography using iterative maximum likelihood estimation (iMLE) with photon counting. The user's contributions involved implementing iMLE for reconstructing a quantum state, including code for measuring photon number statistics and constructing the iterative operator. The user also updated the notebook by including a link to an arXiv paper, and further refinements to the analysis of the quantum system.
pythonunittestingjupyter-notebookipython-notebooksnotebooks
qutip/qutip
Dec 2016 - Jul 2021
QuTiP: Quantum Toolbox in Python
Role in this project:Back-end Developer & Quantum Physics Implementer
Back-end Developer & Quantum Physics ImplementerContributions:2 releases, 14 reviews, 58 commits in 4 years 7 months
Contributions summary:Shahnawaz contributed significantly to the core functionality of the QuTiP library, focusing on extending its capabilities within the quantum physics domain. Their work involved correcting documentation typos, following PEP8 guidelines, and improving code readability through better line breaks and import organization. They implemented and added new functionalities to quantum gates and circuits. Moreover, the user expanded the library's features by integrating the Permutational Invariant Quantum Solver (PIQS) module, incorporating improvements and making it a core module for the project.
quantum-opticsquantum-toolboxphysicspythonquantum-mechanics
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