QuantML is a scientific project funded by the French National Research Agency (ANR) under a JCJC Starting Grant (2019-2023) and coordinated by Hachem Kadri at Aix-Marseille University (AMU).

The project is a collaboration between the Machine Learning group (QARMA) and the Natural Computing group (CANA) of the Laboratoire d’Informatique et Systèmes de Marseille (LIS), a CNRS–AMU joint research unit.

News

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Sep 23

Our paper on “Deep Learning with Kernels through RKHM and the Perron-Frobenius Operator” got accepted at NeurIPS-2023

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Jul 23

Our paper on “Optimality conditions for spatial search with multiple marked vertices” got accepted at Phys. Rev. Research

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Jun 23

A paper on “Large-Scale Quantum Separability Through a Reproducible Machine Learning Lens”. The preprint is available on ArXiv: https://arxiv.org/abs/2306.09444

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Feb 23

Our paper on “Learning in RKHM: a C∗-Algebraic Twist for Kernel Machines” got accepted at AISTATS-2023

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Nov 22

Meeting on Quantum Computing and Technologies @ Aix-Marseille University, November 18, 2022. Please see “Events” for more details.

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May 22

Our paper on “Quantum Perceptron Revisited: Computational-Statistical Tradeoffs” got accepted at UAI-2022 (oral presentation, about %5 acceptance)

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Apr 22

We are organizing the first workshop on Quantum Machine Learning at ECML-PKDD 2022. Please see “Events” for more details.

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Nov 21

Quantun Day @ Aix-Marseille University, November 26, 2021. Please see “Events” for more details.

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Jan 21

Our paper on “Entangled Kernels – Beyond Separability” got accepted at JMLR

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Jul 20

QuantML kickoff meeting will be held virtually on July 7, starting at 10:00 am. Please see “Events” for more details.

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