Tracing Information Flow from Open Quantum Systems
Integrated optical waveguide arrays are employed for the simulation of an open quantum system, where different degrees of freedom of light are identified with system and environment. This allows to observe non‐Markovian evolution and to study different kinds of information flow between a quantum system and its environment. Abstract Open quantum systems
Jan Dziewior+5 more
wiley +1 more source
Liberalization vis-à-vis non-liberalization trade policy: Exploring the impact of price volatility on producer share price and cocoa supply response in Nigeria and Ghana. [PDF]
Adegunsoye EA, Tijani AA, Kolapo A.
europepmc +1 more source
Likelihood Inference for Factor Copula Models with Asymmetric Tail Dependence. [PDF]
Joe H, Li X.
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α‐Methoxy Benzaldehyde Based Photopolymers as a Promising Toolbox for Architected Carbon
The photo‐induced Diels–Alder step‐growth polymerization of difunctional α‐methoxy benzaldehyde and bismaleimide precursors affords photopolymers shaped into microspheres that are ideally suited for the formation of tailored carbon geometries. Stable carbonized microspheres with close to 60% char yield and 33% shrinkage can be readily formed at a ...
Kjetil Baglo+4 more
wiley +1 more source
Analyzing the impact of remittance, FDI and inflation rate on GDP: A comparative study of Bangladesh, Pakistan and Sri-Lanka using VAR and BEKK-GARCH approach. [PDF]
Jui FN+4 more
europepmc +1 more source
Zinc complexes have been prepared from dichalcogenoimidodiphosphinate ligands. Aerosol‐assisted chemical vapour deposition (AACVD) of these single‐source precursors deposit thin films of cubic zinc selenide at the different deposition temperatures and flow rates of the carrier gas.
Temidayo Oyetunde+2 more
wiley +1 more source
The effects of the COVID-19 pandemic period on stock market return and volatility. Evidence from the Pakistan Stock Exchange. [PDF]
Wang B+5 more
europepmc +1 more source
The galaxy-dark matter bias in the Garching-Bonn Deep Survey
P. Šimon+5 more
openalex +2 more sources
ABSTRACT This review explores state of the art machine learning and deep learning models for peptide property prediction in mass spectrometry‐based proteomics, including, but not limited to, models for predicting digestibility, retention time, charge state distribution, collisional cross section, fragmentation ion intensities, and detectability.
Jesse Angelis+4 more
wiley +1 more source
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo. [PDF]
Huijsdens H+3 more
europepmc +1 more source