Jérémy Béjanin
Quantum Hardware Physicist at Nord Quantique
Canada
Summary
👤
Senior🎓
Top SchoolJérémy Béjanin is a quantum hardware physicist with 11 years of experience building and characterizing superconducting circuits for quantum computing and stochastic machine learning. He has led lab build-outs, dilution refrigerator wiring, custom electronics and experimental infrastructure work from graduate research through postdoctoral roles at the Institute for Quantum Computing and as Principal Hardware Scientist at Extropic. His recent work includes designing a superconducting thermodynamic neuron and advancing understanding of TLS-driven noise in qubits and resonators, blending device design, simulation and data-driven analysis. An active contributor to numerical computing, he has improved sparse linear algebra in the Julia language—bringing high-performance computing practices to experimental parameter estimation and analysis. Based in Canada, he combines deep hands-on experimental craftsmanship with algorithmic and software contributions that accelerate scalable superconducting hardware development.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science (B.Sc.), Honours Physics, First Class, Bachelor of Science (B.Sc.), Honours Physics, First Class at McGill UniversityDEC, Pure and Applied Science - International Baccalaureate, DEC, Pure and Applied Science - International Baccalaureate at Champlain College Saint-LambertDoctor of Philosophy - PhD, Physics (Quantum Information), Doctor of Philosophy - PhD, Physics (Quantum Information) at University of Waterloo
English, French, Spanish
Stackoverflow
76reputation
4kreached
2answers
1question
Github Skills (12)
sparse-matrix10
hpc10
linear-algebra10
julia10
numerical-computing10
programming-language9
machine-learning7
go6
websocket6
matlab6
gorilla6
ffi6
Programming languages (15)
Github contributions (5)
JuliaLang/julia
May 2017 - Aug 2021
The Julia Programming Language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 7 commits, 5 PRs in 4 years 2 months
Contributions summary:Jérémy contributed to the Julia programming language repository by implementing and improving sparse matrix and vector operations. This included adding a `kron` method for sparse vectors and improving existing implementations, as well as adding a Frobenius inner product. The contributions focused on enhancing the functionality and performance of sparse linear algebra operations within the Julia ecosystem. These changes demonstrate a focus on numerical computing and high-performance computing.
sciencejulia-languagemachine-learningjulialangpetsc
jebej/AcqSynth.jl
Aug 2017 - Feb 2023
Contributions:30 pushes, 1 branch in 5 years 6 months
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