PeopleofSuperintelligence

Researcher

Matteo G. A. Paris

Also known as Matteo Paris

Matteo Paris is a quantum-information theorist at the University of Milan whose papers apply machine learning to quantum devices. He earned his doctorate at the University of Pavia in 1995, coauthored a maximum-likelihood paper on estimating the density matrix in 2000, and joined the University of Milan in 2004. In 2021, he coauthored a deep-reinforcement-learning quantum compiler with Lorenzo Moro, Marcello Restelli and Enrico Prati, and a neural-network classifier for single-qubit dephasing channels with Adriano Palmieri, Federico Bianchi and Claudia Benedetti. A 2025 paper with Asghar Ullah and Özgür Müstecaplıoğlu paired a genetic algorithm with a deep neural network to optimize the graph topologies of quantum sensing networks. He is a full professor in the Physics Department of the University of Milan, where he leads the Applied Quantum Mechanics Group and the Quantum Technology Lab.

Badges

Timeline

  1. 1995

    A doctorate from Pavia

    He receives his doctorate from the University of Pavia in 1995.

  2. 2000

    Maximum-likelihood state estimation

    In 2000, he coauthors the Physical Review A paper 'Maximum-likelihood estimation of the density matrix' with Banaszek, D'Ariano and Sacchi.

  3. 2004

    Joining the University of Milan

    In 2004, he joins the University of Milan and, with Rehacek, edits the Springer volume Quantum State Estimation (LNP 649).

  4. 2009

    A quantum estimation review

    In 2009, he publishes the review 'Quantum estimation for quantum technology'. It presents local quantum estimation theory with explicit formulas for the symmetric logarithmic derivative and the quantum Fisher information of relevant families of quantum states.

  5. 2021

    Quantum compiling by reinforcement learning

    In 2021, he coauthors 'Quantum compiling by deep reinforcement learning' in Communications Physics with Lorenzo Moro, Marcello Restelli and Enrico Prati. The method learns a general strategy for approximating single-qubit unitaries as gate sequences, and one training covers every logic gate. He also coauthors a Physical Review A paper with Adriano Palmieri, Federico Bianchi and Claudia Benedetti, in which neural networks classify the environmental parameters of single-qubit dephasing channels.

  6. 2025

    Optimizing quantum sensing networks

    In 2025, he coauthors with Asghar Ullah and Özgür Müstecaplıoğlu a paper on quantum sensing networks for estimating weak magnetic fields. A genetic algorithm evolves the graph topologies, and a deep neural network trained on its results extrapolates to larger graphs.

  7. As of October 2026

    Leading quantum technology at Milan

    He is a full professor in the Physics Department of the University of Milan, where he leads the Applied Quantum Mechanics Group and the Quantum Technology Lab. A theorist working in quantum information, quantum optics and open quantum systems, he focuses on quantum sensing and metrology, continuous variable quantum technology and quantum walks. In February 2024, he gives the InstituteQ colloquium at the University of Helsinki on quantum routing and transport on discrete networks.

Career

  1. Since 2004University of MilanFull professor

Education

  1. 1995University of PaviaDoctorate

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Milan. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Milan. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Pavia. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Physics - Matteo Paris physics.aps.org. Checked 21 October 2026.
  2. pubs – Matteo Paris sites.unimi.it. Checked 21 October 2026.
  3. [0804.2981] Quantum estimation for quantum technology arxiv.org. Checked 21 October 2026.
  4. Quantum compiling by deep reinforcement learning | Communications Physics nature.com. Checked 21 October 2026.
  5. Quantum computing: a more efficient model thanks to deep learning - News - DEIB deib.polimi.it. Checked 21 October 2026.
  6. [2108.01571] Multiclass classification of dephasing channels arxiv.org. Checked 21 October 2026.
  7. [2507.17460] Optimizing quantum sensing networks via genetic algorithms and deep learning arxiv.org. Checked 21 October 2026.
  8. InstituteQ Colloquium: Matteo Paris - InstituteQ instituteq.fi. Checked 21 October 2026.
  9. Matteo Paris sites.unimi.it. Checked 21 October 2026.
  10. Matteo Paris – Pure and Applied Quantum Mechanics Group sites.unimi.it. Checked 21 October 2026.