Construction and coupling of frames in Hilbert spaces with W-metrics
, 2016 Germán Escobar +2 more
openalex +2 more sources
Entanglement Swapping for Partially Entangled Qudits and the Role of Quantum Complementarity
Advanced Quantum Technologies, EarlyView.The entanglement swapping protocol is extended to partially entangled qudit states and analyzed through complete complementarity relations. Analytical bounds on the average distributed entanglement are established, showing how the initial local predictability and entanglement constrain the operational distribution.
Diego S. Starke +3 more
wiley +1 more source
Characterization and stability of approximately dual g-frames in Hilbert spaces. [PDF]
J Inequal Appl, 2018 Fu YL, Zhang W.
europepmc +1 more source
Demonstrating the contextuality of quantum mechanics with observables in Hilbert spaces of arbitrary dimensions [PDF]
, 2015 Adrien Laversanne-Finot +6 more
openalex
On well-posedness of Bayesian data assimilation and inverse problems in Hilbert space
, 2017 Ivan Kasanický, Jan Mandel
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Numerical range of inner product type integral transformers on Hilbert spaces
, 2023 Priscah Moraa +2 more
openalex +1 more source
Digital Twin Simulations Toolbox of the Nitrogen‐Vacancy Center in Diamond
Advanced Quantum Technologies, EarlyView.The Nitrogen‐vacancy (NV) center in diamond is a key platform within quantum technologies. This work introduces a Python based digital‐twin of the NV, where the spin dynamics of the system is simulated without relying on commonly used approximations, such as the adoption of rotating frame. The digital‐twin is validated through three different examples,
Lucas Tsunaki +3 more
wiley +1 more source
Vector Generation of Quantum Contextual Sets in Even Dimensional Hilbert Spaces. [PDF]
Entropy (Basel), 2018 Pavičić M, Megill ND.
europepmc +1 more source
Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert Spaces [PDF]
Rodrigo Maulen-Soto +2 more
openalex +1 more source
Loss Behavior in Supervised Learning With Entangled States
Advanced Quantum Technologies, EarlyView.Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source