Machine learning is frequently listed among the most promising applications for quantum
computing. This is in fact a curious choice: the machine-learning algorithms of today are …

How do group dynamics affect individuals within the group? How do individuals, in turn,
affect group dynamics? As society comes together, individuals affect the group dynamics …

Many complex behaviors in biological systems emerge from large populations of interacting
molecules or cells, generating functions that go beyond the capabilities of the individual …

The integration of large language models (LLMs) into mental healthcare and research
heralds a potentially transformative shift, one offering enhanced access to care, efficient data …

With the increasing demand for sustainable energy, hydrogen as a recyclable and green
energy resource has drawn a lot of attention. Optical spintronics, combining the spin and …

Dynamical models implemented on the large scale architecture of the human brain may
shed light on how a function arises from the underlying structure. This is the case notably for …

Econophysics emerged in the 1990s by importing statistical physics into economics and
finance. Such extension of physics to another context generated a lot of epistemological …

This paper explores the scenarios under which an attacker can claim that'Noise and access
to the softmax layer of the model is all you need'to steal the weights of a convolutional neural …

Physics is often seen as an excellent introduction to science because it allows students to
learn not only the laws governing the world around them, but also, through the problems …

We demonstrate an experimental realization of the short range magnetic order in a one-
dimensional Ising chain using fabricated mesospins. We confirm an excellent agreement …