169 citations
- University of NottinghamGB13 papers
- Munich Center for Quantum Science and TechnologyDE4 papers
- Technical University of MunichDE4 papers
- California Institute of TechnologyUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Google (United States)US2 papers
- Sorbonne UniversitéFR2 papers
- The University of TokyoJP2 papers
- Universidad Autónoma de MadridES2 papers
- University of California, RiversideUS2 papers
- University of Massachusetts AmherstUS2 papers
- AREA Science ParkIT1 paper
19 papers
Simulating Topological Order on Quantum Processors
Adam Gammon-Smith, Michael Knap, Frank Pollmann
It is an ongoing quest to realize topologically ordered quantum states on different platforms including condensed matter systems, quantum simulators and digital quantum processors.…
Thermodynamic Uncertainty Relations for Coherent Transport
Kay Brandner, Keiji Saito
We derive a universal thermodynamic uncertainty relation for Fermionic coherent transport, which bounds the total rate of entropy production in terms of the mean and fluctuations o…
Prigogine's temporalization of physics: two agnostic attitudes of physicists
Hirokazu Maruoka
In this paper, I aim to clarify the unconscious ideologies and attitudes held by physicists through Prigogine's work. Prigogine was an outstanding chemist and physicist who made si…
An AI-directed analytical study on the optical transmission microscopic images of Pseudomonas aeruginosa in planktonic and biofilm states
Bidisha Sengupta, Mousa Alrubayan, Yibin Wang +5
Biofilms are resistant microbial cell aggregates that pose risks to health and food industries and produce environmental contamination. Accurate and efficient detection and prevent…
Visualizing Dynamics of Charges and Strings in (2+1)D Lattice Gauge Theories
Tyler A. Cochran, Bernhard Jobst, Eliott Rosenberg +189
Lattice gauge theories (LGTs) can be employed to understand a wide range of phenomena, from elementary particle scattering in high-energy physics to effective descriptions of many-…
Stabilizing Extreme Q-learning by Maclaurin Expansion
Motoki Omura, Takayuki Osa, Yusuke Mukuta +1
In offline reinforcement learning, in-sample learning methods have been widely used to prevent performance degradation caused by evaluating out-of-distribution actions from the dat…