779 citations
- University of Maryland, College ParkUS36 papers
- Joint Quantum InstituteUS26 papers
- National Institute of Standards and TechnologyUS10 papers
- Massachusetts Institute of TechnologyUS4 papers
- Princeton UniversityUS3 papers
- Harvard UniversityUS2 papers
- IonQ (United States)US2 papers
- Max Planck Institute for the Physics of Complex SystemsDE2 papers
- National Security AgencyUS2 papers
- University of California, BerkeleyUS2 papers
- University of California, Santa BarbaraUS2 papers
- Yale UniversityUS2 papers
6 papers · 1 filter
Quantum-enhanced machine learning
Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
The emerging field of quantum machine learning has the potential to substantially aid in the problems and scope of artificial intelligence. This is only enhanced by recent successe…
Wannier functions using a discrete variable representation for optical lattices
Saurabh Paul, Eite Tiesinga
We propose a numerical method using the discrete variable representation (DVR) for constructing real-valued Wannier functions localized in a unit cell for both symmetric and asymme…
Subwavelength-width optical tunnel junctions for ultracold atoms
F. Jendrzejewski, S. Eckel, T. G. Tiecke +4
We propose a new method for creating far-field optical barrier potentials for ultracold atoms with widths that are narrower than the diffraction limit and can approach tens of nano…
Double Quantum Dot Floquet Gain Medium
J. Stehlik, Y. -Y. Liu, C. Eichler +5
Strongly driving a two-level quantum system with light leads to a ladder of Floquet states separated by the photon energy. Nanoscale quantum devices allow the interplay of confined…
Many-body decoherence dynamics and optimised operation of a single-photon switch
Callum R. Murray, Alexey V. Gorshkov, Thomas Pohl
We develop a theoretical framework to characterize the decoherence dynamics due to multi-photon scattering in an all-optical switch based on Rydberg atom induced nonlinearities. By…
Adiabatic optimization versus diffusion Monte Carlo
Michael Jarret, Stephen P. Jordan, Brad Lackey
Most experimental and theoretical studies of adiabatic optimization use stoquastic Hamiltonians, whose ground states are expressible using only real nonnegative amplitudes. This ra…