Gaurav Saxena

Senior Quantum Research Scientist at LG Electronics Canada

Old Toronto, Ontario, Canada
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Summary

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Gaurav Saxena is a Senior Quantum Research Scientist with eight years of experience specializing in NISQ algorithms, quantum error mitigation, and the resource theory of quantum channels. He holds a PhD in Quantum Information from the University of Calgary and has published work on dynamical coherence and multiqubit magic, applying convex optimization and semidefinite programming to practical channel interconversion and distillation problems. At LG Electronics Canada he advances programmable quantum computing for the NISQ era, pairing deep theoretical insight with production-oriented coding in Python, C++, Qiskit, QuTiP and tequila. An active open-source contributor, he improved QuTiP’s Bloch utilities included in v4.7.0 and added QTensor support to tequila—features that materially speed up quantum chemistry and ML workflows. Colleagues describe him as a problem-solver who translates abstract resource-theoretic results into efficient classical simulation algorithms and usable toolkit improvements.
code8 years of coding experience
job3 years of employment as a software developer
bookIntermediate, PCM (U.P. Board), Intermediate, PCM (U.P. Board) at Montfort Inter College, Mahanagar, Lucknow
bookDoctor of Philosophy - PhD, Quantum Information, Doctor of Philosophy - PhD, Quantum Information at University of Calgary
bookMaster of Science - MS, Physics, 8.8/10, Master of Science - MS, Physics, 8.8/10 at Indian Institute of Science Education and Research (IISER), Mohali
languagesHindi, English
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Github Skills (9)

quantum-computing10
quantum-mechanics10
python10
numpy10
qutip10
matplotlib9
git6
kaggle6
jupyter-notebook6

Programming languages (5)

C++CSSCJupyter NotebookPython

Github contributions (5)

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qutip/qutip

Oct 2021 - Dec 2021

QuTiP: Quantum Toolbox in Python
Role in this project:
userBack-end Developer
Contributions:10 reviews, 13 commits, 1 PR in 1 month
Contributions summary:Gaurav primarily focused on enhancing the `qutip/bloch.py` file within the QuTiP quantum toolbox. Their contributions involved adding features for drawing arcs and lines on the Bloch sphere, including functionalities for Qobj inputs. The user also made improvements by adding descriptions, fixing whitespaces, and incorporating matplotlib format. Furthermore, they updated the code to include Qobj inputs, matplotlib format, and steps for arc and line segments.
quantum-opticsquantum-toolboxphysicspythonquantum-mechanics
Contributions:4 commits, 2 pushes, 1 branch in 1 year 6 months
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Gaurav Saxena - Senior Quantum Research Scientist at LG Electronics Canada