University of Hawaii at Manoa
Department of Physics and Astronomy

Jeffrey Yepez, Ph.D.
Quantum Information Science










Quantum Information Science


Quantum computation


Foundational articles on quantum computing by Richard Feynman

  • Richard Feynman, "There's Plenty of Room at the Bottom," Caltech Engineering and Science, Vol. 23, No. 22 (1960).
    This is a transcript of Feynman's talk given on December 29, 1959 at the annual meeting of the American Physical Society.
  • Richard Feynman, "Simulating Physics with Computers," International Journal of Theoretical Physics, Vol. 21, Nos. 6/7 (1982)


Lattice models

Below are listings of the research topics investigated by the QC Group arranged in tabular form. In my modeling approach, I use either bits or qubits as the containers of information, the fundamental unit being a binary number either 0 or 1. In my lattice models of classical dynamics, I treat point particles as bits. And, in my lattice models of quantum dynamics, I treat point particles as qubits. Joint information is used too, either as correlated bits or entangled qubits. I consider lattice models where the number of bits (or the number of bits contained in the qubits) is conserved.

Classical dynamics

particles & fields

classical matter

fluid dynamics

nonlinear physics

number density field & velocity field neutral matter Navier-Stokes equation vortices, shocks & turbulence
number density field & velocity and magnetic fields magnetized matter magnetohydrodynamic equations magnetic vortices & MHD turbulence
charged 4-current & electric and magnetic fields charged matter plasmas and classical limit of the coupled Dirac equation and the Maxwell equations Thirring-Coleman solitons & optical solitons
stress-energy tensor field & metric tensor field gravitating matter & curved space Dirac equation in curved space and Higgs model equation & Einstein equation cosmic strings & black holes

Quantum dynamics

particles & fields

quantum matter

quantum fluid dynamics

nonlinear quantum physics

spin-0 bosons & single macroscopic quantum particle superfluids Gross-Pitaevskii equation quantum vortices & quantum turbulence
entangled spin-1/2 fermions & Landau-Ginzburg order parameter superconducting fluids Dirac-Maxwell-London equations and Bogoliubov-de Gennes equation & Landau-Ginzburg equation magnetic quantum vortices & Abrikosov lattice
spin-f bosons & multiplet bosonic field spinor Bose-Einstein condensates superfluids spin-f BEC equation non-Abelian quantum vortices & Skyrmions and Dirac monopoles
chiral fermions & gauge fields Fermi condensates Mead-Wilczek equation and quantum Yang-Mills equation not fully understood at this time


Quantum information science applications

  • Modeling classical fluid turbulence
  • Modeling quantum turbulence
  • Modeling gauge field theories
  • Solving partial differential equaitons via measurement-based quantum computing
  • Modeling the dynamics and interactions of non-Abelian quantum vortices and topological solitons
  • Condensed matter studies via Bose-Einstein condensates confined in optical lattices
  • Modeling spinor Bose-Einstein condensates via quantum simulations
  • Modeling Fermi condensates and unitary Fermi gases
  • Studies of quantum knots
  • Modeling gauge gravity

QC Course (Part I)

QC Course (Part II)

QC Course (Part III)

  • Phys 699: Directed Research.