Search Results for author:
Found 6 papers, 3 papers with code
Quantum Self-Supervised Learning
The resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically increasing size of real-world data sets without human annotation.
Algebraic Theory of Quantum Synchronization and Limit Cycles under Dissipation
Synchronization is a phenomenon where interacting particles lock their motion and display non-trivial dynamics.
Quantum Physics Mesoscale and Nanoscale Physics Quantum Gases Statistical Mechanics Adaptation and Self-Organizing Systems
Analytical Solution for the Steady States of the Driven Hubbard model
Under the action of coherent periodic driving a generic quantum system will undergo Floquet heating and continously absorb energy until it reaches a featureless thermal state.
Strongly Correlated Electrons Superconductivity Quantum Physics
Optimized Observable Readout from Single-shot Images of Ultracold Atoms via Machine Learning
The efficient extraction of observables from single-shot images is thus crucial.
Quantum Gases Quantum Physics
Variational Quantum Algorithms for Nonlinear Problems
We show that nonlinear problems including nonlinear partial differential equations can be efficiently solved by variational quantum computing.
Quantum Physics
The Tensor Network Theory Library
In this technical paper we introduce the Tensor Network Theory (TNT) library -- an open-source software project aimed at providing a platform for rapidly developing robust, easy to use and highly optimised code for TNT calculations.
Quantum Physics Other Condensed Matter
