Ben Jaderberg
Research Scientist, Quantum Computing at Google DeepMind
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolBen Jaderberg is a Staff Research Scientist in quantum computing with a decade of experience translating cutting-edge research into algorithms that run on today’s noisy quantum hardware. After a PhD from Oxford in atomic and laser physics, he has built and benchmarked quantum algorithms for optimisation, chemistry and quantum machine learning at institutions including PASQAL and IBM, focusing on practical applications like training quantum neural networks to solve nonlinear PDEs. He combines deep theoretical grounding with production-minded software skills—having shipped code to real devices and worked as a Java engineer early in his career—making him fluent across hardware, algorithms and engineering. Based in London, he is particularly experienced at squeezing value from first-generation quantum processors and extending algorithms toward industrial relevance where near-term advantage may emerge.
10 years of coding experience
6 years of employment as a software developer
High School, High School at Queen Elizabeth's School (Barnet, London)Doctor of Philosophy - PhD Atomic and Laser Physics, Doctor of Philosophy - PhD Atomic and Laser Physics at University of OxfordUniversity College London
English
Github Skills (23)
sdk10
simulator9
git9
python9
source-sdk9
qiskit9
noise9
rust9
quantum-computing9
github8
quantum-programming-language8
gpu8
machine-learning7
deep-learning7
high-performance6
Programming languages (3)
Github contributions (5)
bjader/QSSL
Jun 2021 - Mar 2022
Contributions:6 commits, 8 pushes in 10 months
bjader/quantum-neural-network
Jun 2021 - Dec 2021
For building quantum neural networks in Qiskit and integrating with PyTorch
Contributions:14 commits, 2 PRs, 8 pushes in 6 months
neural-networkpytorchqiskit
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