Pauline Besserve
Research Associate
Research Interests:
Strongly-correlated systems
Embedding methods
Quantum noise
Benchmarking
Error mitigation
Pauline holds a dual degree from École Normale Supérieure de Lyon, where she studied theoretical physics, and École Centrale de Lyon, where she trained as an engineer. Her doctoral work explored how noisy-era quantum computers could be used to describe strongly correlated electronic systems through embedding methods. She later joined the Quantum Software Lab to work on entropy benchmarking. Driven by a fascination with the interplay between quantum and classical resources for the many-fermion problem, she develops scalable methods for preparing and learning correlated quantum states, as well as noise-assisted algorithms for the simulation of impurity dynamics.
Featured Publications: Probing quantum advantage for solving the Fermi-Hubbard model with entropy benchmarking, arXiv: 2510.00930
Turning qubit noise into an advantage: Automatic state preparation and long-time dynamics for impurity models on quantum computers, Phys. Rev. B 111, 245159 (2025) (https://arxiv.org/abs/2412.13711)
Unraveling correlated material properties with noisy quantum computers: Natural orbitalized variational quantum eigensolving of extended impurity models within a slave-boson approach - Phys. Rev. B 105, 115108 (2022) ( https://arxiv.org/abs/2108.10780)
Quantum computing with and for many-body physics - Eur. Phys. J. A 59, 227 (2023) ( https://arxiv.org/abs/2303.04850)