Thomas Chalopin

Thomas Chalopin is a CNRS Research Fellow at the Charles Fabry Laboratory (LCF), part of the Institut d'Optique Graduate School. He works in collaboration with the Gas Network team within the Quantum Gases research group. Prior to his current position, he completed a postdoctoral fellowship in Immanuel Bloch's group at the Max Planck Institute of Quantum Optics (MPQ) in Munich (2020-2023), focusing on microscopy of fermionic quantum gases. He earned his PhD (2016-2020) from Collège de France in Paris under the supervision of Sylvain Nascimbene and Jean Dalibard, where his research centered on quantum-enhanced sensing and synthetic Landau levels with ultracold dysprosium atoms.

Dr. Chalopin's research focuses on quantum simulation using ultracold atomic systems, particularly fermionic quantum gases. His work bridges condensed matter physics and quantum information science, with emphasis on:

• Quantum gas microscopy techniques for high-resolution imaging of quantum systems
• Exploration of the Fermi-Hubbard model to understand high-temperature superconductivity
• Investigation of topological phases and magnetic properties in synthetic quantum systems
• Development of quantum-enhanced sensing using highly magnetic atoms like dysprosium
• Engineering of optical lattices and superlattices for quantum simulation

His recent publications demonstrate a strong focus on understanding quantum magnetism, stripe formation, and pseudogap physics in fermionic systems. The research often involves sophisticated experimental techniques in quantum gas microscopy and shows a progression from fundamental quantum phenomena to potential applications in quantum information processing and precision measurement.

Dr. Chalopin has published in top-tier journals including Nature, Physical Review Letters, and PRX Quantum. His work frequently involves international collaborations, particularly with the renowned quantum gas research group led by Immanuel Bloch at MPQ. The research has implications for understanding fundamental quantum many-body phenomena and could contribute to advances in quantum computing and quantum sensing technologies.