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Valéry G. Rousseau

Visiting Assistant Professor

Valéry G. Rousseau
Valéry G. Rousseau

Prof. Valéry Rousseau studied physics and mathematics at the University
of Nice - Sophia Antipolis (France). He did postdoctoral work at the University of California, Davis, other postdoctoral work at the Lorentz Institute of the University of Leiden (The Netherlands), and finally at Louisiana State University in Baton Rouge. His research focused on the study of strongly correlated systems such as in condensed matter and ultra-cold atomic gases on optical lattices. After completing his PhD, prof Rousseau orientated his research to the development of quantum Monte Carlo (QMC) methods, and published his own method known as the Stochastic Green Function (SGF) algorithm. This algorithm is, to date, the most general QMC method and allows for the simulation of any so-called "sign-problem-free" Hamiltonian. Recently, Prof. Rousseau worked on superfluidity and how to measure the superfluid density in QMC simulations. His research now includes the field of artificial intelligence and machine learning, with the aim of simulating Hamiltonians that are currently unsolvable with QMC methods.

Prof. Rousseau was awarded training courses that allowed him for teaching physics, math, and computer science during his PhD at the University of Nice - Sophia Antipolis (France). He also taught physics during his postdoc at the Lorentz Institute of the University of Leiden (The Netherlands), and the C++ programming language at Louisiana State
University. Prof. Rousseau was a visiting assistant professor at the College of Wooster, where he taught various courses from freshman level to senior level students. He was also responsible for the Independent Search projects of senior students, a specificity of the College of Wooster.

 

Selected Publications

  • Superfluid density in continuous and discrete spaces: Avoiding misconceptions, V.G. Rousseau, Phys. Rev. B 90, 134503 (2014)
  • Pure Mott phases in confined ultracold atomic systems, V. G. Rousseau, G. G. Batrouni, D. E. Sheehy, J. Moreno, and M. Jarrell, Phys. Rev. Lett. 104, 167201 (2010)
  • Exact study of pair formation with imbalanced fermion populations, G.G. Batrouni, M.H. Huntley, V.G. Rousseau, and R.T. Scalettar, Phys. Rev. Lett. 100, 116405 (2008)
  • Stochastic Green function algorithm, V.G. Rousseau, Phys. Rev. E 77, 056705 (2008)
  • Directed update for the Stochastic Green Function algorithm, V.G. Rousseau, Phys. Rev. E 78, 056707 (2008)
  • Exact study of the 1D boson Hubbard model with a superlattice potential, V. G. Rousseau, D. P. Arovas, M. Rigol, F. Hébert, G. G. Batrouni, and R. T. Scalettar, Phys. Rev. B 73, 174516 (2006)
  • Mott Domains of Bosons Confined on Optical Lattices, G. G. Batrouni, V. Rousseau, R. T. Scalettar, M. Rigol, A. Muramatsu, P. J. H. Denteneer, and M. Troyer, Phys. Rev. Lett. 89, 117203 (2002)

Recent Publications

  • Competition between the Haldane insulator, superfluid and supersolid phases in the one-dimensional Bosonic Hubbard Model, G.G. Batrouni, V.G. Rousseau, R.T. Scalettar, and B. Grémaud IOP 1742-6596-640-1-012042 (2015)
  • Cooling Atomic Gases With Disorder, Thereza Paiva, Ehsan Khatami, Shuxiang Yang, Valery Rousseau, Mark Jarrell, Juana Moreno, Randall G. Hulet, Richard T. Scalettar Phys. Rev. Lett. 115, 240402 (2015)
  • Competing exotic quantum phases of spin-1/2 ultra-cold lattice bosons with extended spin interactions, Chia-Chen Chang, Valéry G. Rousseau, Richard T. Scalettar, and George G. Batrouni Phys. Rev. B 92, 054506 (2015)
  • Bosonic Kondo-Hubbard model, T. Flottat, F. Hébert, V. G. Rousseau, R. T. Scalettar, and G. G. Batrouni Phys. Rev. B 92, 035101 (2015)
  • Feshbach-Stabilized Insulator of Bosons in Optical Lattices, Laurent de Forges de Parny, Valy G. Rousseau, Tommaso Roscilde Phys. Rev. Lett. 114, 195302 (2015)

Classes Taught

  • Classical Mechnics
  • Unix Systems and the C++ programming language
  • Mathematics applied to Physics
  • Theory of Probability
  • Quantum Theory
  • Electronics
  • Calculus Physics
  • Math Methods in the Physical Sciences
  • Modern Optics

Areas of Expertise

Quantum Monte Carlo simulations, superfluidity, Lattice Hamiltonians, Optical lattices, the Bose-Hubbard model, ring-exchange processes, Artificial Intelligence.