Antonio Gentile
Head Of Machine Learnable Quantum Models Unit at MRS s.r.l.
Netherlands
Summary
👤
Senior🎓
Top SchoolAntonio Gentile is a physics-trained technology leader who builds and leads teams at the intersection of quantum hardware, machine learning and applied software, currently heading the Machine Learnable Quantum Models unit at Pasqal. With a PhD in Quantum Engineering from the University of Bristol and eight years of industry experience, he has progressed from senior developer roles to unit head while working on neutral-atom quantum processors and differentiable quantum circuits. He brings a rare blend of hands-on experimental photonics and mechanical device design, mathematical modeling, and production-minded coding, shaped also by entrepreneurship as co-founder of a materials-recovery startup. Antonio pairs technical depth with product and project management skills reinforced by a Fulbright BEST entrepreneurship certificate from Santa Clara University, and he enjoys tackling multidisciplinary problems that require both strategic vision and detailed engineering.
8 years of coding experience
3 years of employment as a software developer
Liceo Scientifico "Fermi" - Bari (Secondary High School)Theoretical Physics Advanced Materials, Theoretical Physics Advanced Materials at Ulm UniversityMaster of Science Theoretical Physics Condensed Matter Physics, Master of Science Theoretical Physics Condensed Matter Physics at Università del SalentoCertificate Management and Entrepreneurship, Certificate Management and Entrepreneurship at Santa Clara UniversityDoctor of Philosophy - PhD Quantum Engineering, Doctor of Philosophy - PhD Quantum Engineering at University of Bristol
English, Italian, German
Github Skills (19)
plot8
backend7
quantum-computing7
science6
graph6
python6
quantum-mechanics6
measurement6
physics5
scale5
large-scale5
machine-learning5
toolbox5
quantum-algorithms4
visualization4
Programming languages (1)
Github contributions (5)
aagentile/qutip-doc
May 2020 - Feb 2021
QuTiP documentation
Contributions:3 pushes, 1 branch in 9 months
qutip
aagentile/CheMPS2
Apr 2021 - Apr 2021
CheMPS2: a spin-adapted implementation of DMRG for ab initio quantum chemistry
Contributions:2 pushes in 1 day
ab-initiochemistryadaptedquantum-computingquantum-algorithms
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