Quantum Simulation
902 papers for year 2020
Quantum Simulation Research Context
This category collects papers on quantum simulation methods for chemistry, materials, many-body systems, condensed matter, and physics models.
Showing 385-396 of 902
KAM-Stability for Conserved Quantities in Finite-Dimensional Quantum Systems
Daniel Burgarth, Paolo Facchi, Hiromichi Nakazato, Saverio Pascazio, Kazuya Yuasa
Kasner-like regions near crushing singularities <sup>*</sup>
John Lott
Keldysh Rotation in the Large-N Expansion and String Theory Out of Equilibrium
Petr Horava, Christopher J. Mogni
Kink-antikink scattering-induced breathing bound states and oscillons in a parametrized $φ^4$ model
F. Naha Nzoupe, Alain M. Dikandé, C. Tchawoua
Label-free phase change detection of lipid bilayers using nanoscale diamond magnetometry
Hitoshi Ishiwata, Hiroshi C. Watanabe, Shinya Hanashima, Takayuki Iwasaki, Mutsuko Hatano
Large array of Schrödinger cat states facilitated by an optical waveguide
Wui Seng Leong, Mingjie Xin, Zilong Chen, Shijie Chai, Yu Wang, Shau-Yu Lan
Late time dynamics in SUSY saddle-dominated scrambling through higher-point OTOC
Rathindra Nath Das, Sourav Dutta, Archana Maji
Latent symmetry induced degeneracies
M. Röntgen, M. Pyzh, C. V. Morfonios, N. E. Palaiodimopoulos, F. K. Diakonos, P. Schmelcher
Lattice Gauge Theories and String Dynamics in Rydberg Atom Quantum Simulators
Federica M. Surace, Paolo P. Mazza, Giuliano Giudici, Alessio Lerose, Andrea Gambassi, Marcello Dalmonte
Lattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks
Giuseppe Magnifico, Timo Felser, Pietro Silvi, Simone Montangero
Learning from physics experiments, with quantum computers: Applications in muon spectroscopy
Sam McArdle
Learning temporal data with variational quantum recurrent neural network
Yuto Takaki, Kosuke Mitarai, Makoto Negoro, Keisuke Fujii, Masahiro Kitagawa