Results 151 to 160 of about 74,402 (284)
Analyzing the Free States of one Quantum Resource Theory as Resource States of Another
The article investigates how free states in one quantum resource theory can become highly resourceful in another. It systematically studies multipartite entanglement, fermionic non‐Gaussianity, imaginarity, realness, spin coherence, Clifford non‐stabilizerness, Sn‐equivariance, and non‐uniform entanglement, combining rigorous analytical tools and ...
Andrew E. Deneris +5 more
wiley +1 more source
Control of Open Quantum Systems via Dynamical Invariants
Dynamical invariants are used to reverse‐engineer control fields for open quantum systems described by time‐dependent Lindblad master equations. By minimizing an analytic leakage functional, the protocol dynamically steers the state along an effectively decoherence‐free path without costly iterative propagation.
Loris M. Cangemi +4 more
wiley +1 more source
Derivations and KMS-Symmetric Quantum Markov Semigroups. [PDF]
Vernooij M, Wirth M.
europepmc +1 more source
Unbounded *-representations of tensor product locally convex *-algebras induced by unbounded C*-seminorms [PDF]
Maria Fragoulopoulou, A. Inoue
openalex +1 more source
Tensor Products of <I>C</I>*-Algebras and Operator Spaces [PDF]
Gilles Pisier
openalex +1 more source
A general approach to the linear stability of viscoelastic shear‐flows
Abstract The present work provides an in‐depth analysis of the linear stability theory of viscoelastic shear‐flows, based upon a constitutive equation of the fading memory type. The particular model considered herein was introduced by Kenneth Walters through the integration of classical rate‐type fluids in a convected frame (Walters 1962).
Johannes Conrad, Martin Oberlack
wiley +1 more source
Tensor products for monotone complete <i>C</i><sup>*</sup>-algebras, II
Masamichi Hamana
openalex +2 more sources
Root components for tensor product of affine Kac-Moody Lie algebra modules [PDF]
Sam Jeralds, Shrawan Kumar
openalex +1 more source
Differentiable River Routing for End‐to‐End Learning of Hydrological Processes
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet +3 more
wiley +1 more source

