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Simon Cantori

@simoncantori

I’m a Research Scientist applying machine learning to quantum computing, focused on error mitigation and neural quantum algorithms.

Italy

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What I'm looking for

I’m looking for a research role where I can apply deep learning to quantum computing—especially for quantum error mitigation and classical learnability of quantum circuits—building neural, data-driven quantum algorithms with strong scientific collaboration.

I’m a Research Scientist with a PhD in Quantum Technologies, specializing in machine learning methods for quantum computing. My work focuses on quantum error mitigation, classical learnability of quantum circuits, and neural network-based quantum algorithms.

I’ve gained research and industry experience through roles at IBM Quantum and Quantinuum, including developing a Qiskit-based coding challenge for the IBM Quantum Developer Conference 2024 and organizing a Qiskit Fall Fest (100+ participants). Earlier, I supported undergraduate physics learning as a Teaching assistant and delivered computer-vision research using deep learning models, achieving a 90% accuracy rate for classifying fabric weaves.

Experience

Work history, roles, and key accomplishments

Intern - EMEA Workforce & Education

IBM Quantum

Jul 2024 - Dec 2024 (5 months)

Designed and implemented a Qiskit-based coding challenge for the IBM Quantum Developer Conference 2024 and created technical content for a developer audience. Led the organization of a Qiskit Fall Fest for 100+ participants, managing technical content, outreach, and logistics.

Qiskit Technical Content Development Event Organization

Teaching assistant

University of Camerino

Jan 2023 - Jan 2024 (1 year)

Served as a physics tutor for undergraduate geology students.

Physics Tutoring Undergraduate Teaching

Research Project (Scholarship)

Benetton, Next Technology Tecnotessile

Jan 2020 - Jan 2022 (2 years)

Automated the industrial process of classifying fabric weaves using deep learning computer vision models, achieving 90% accuracy.

Deep Learning Computer Vision Fabric Weave Classification

Research Scientist Intern

Quantinuum

Mar 2026 - Present (4 months)

Conducted research on deep learning methods for hybrid classical-quantum procedures applied to quantum many-body systems.

Deep Learning

Education

Degrees, certifications, and relevant coursework

University of Naples Federico II and University of Camerino

Doctor of Philosophy (PhD), Quantum Technologies

2022 - 2026

Applied deep learning methods to quantum computing, focusing on classical learnability of quantum circuits, quantum error mitigation, quantum algorithms, and quantum many-body systems.