Results 61 to 70 of about 1,489,877 (332)

Quantum Entanglement Growth Under Random Unitary Dynamics [PDF]

open access: yes, 2016
Characterizing how entanglement grows with time in a many-body system, for example after a quantum quench, is a key problem in non-equilibrium quantum physics. We study this problem for the case of random unitary dynamics, representing either Hamiltonian
A. Nahum   +3 more
semanticscholar   +1 more source

Entanglement Availability Differentiation Service for the Quantum Internet

open access: yes, 2018
A fundamental concept of the quantum Internet is quantum entanglement. In a quantum Internet scenario where the legal users of the network have different priority levels or where a differentiation of entanglement availability between the users is a ...
Gyongyosi, Laszlo, Imre, Sandor
core   +1 more source

Entanglement Echoes in Quantum Computation [PDF]

open access: yes, 2003
We study the stability of entanglement in a quantum computer implementing an efficient quantum algorithm, which simulates a quantum chaotic dynamics. For this purpose, we perform a forward-backward evolution of an initial state in which two qubits are in
Benenti, Giuliano   +2 more
core   +1 more source

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

open access: yesAdvanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir   +8 more
wiley   +1 more source

General polygamy inequality of multi-party quantum entanglement

open access: yes, 2012
Using entanglement of assistance, we establish a general polygamy inequality of multi-party entanglement in arbitrary dimensional quantum systems. For multi-party closed quantum systems, we relate our result with the monogamy of entanglement to show that
C. Bennett, Jeong San Kim, T. Laustsen
core   +1 more source

ErMn6Sn6: A Promising Kagome Antiferromagnetic Candidate for Room‐Temperature Nernst Effect‐Based Thermoelectrics

open access: yesAdvanced Functional Materials, EarlyView.
This work investigates the Nernst effect in the Kagome magnet ErMn6Sn6 which exhibits both topological and anomalous Nernst effects with the anomalous Nernst coefficient reaching 1.71 µV K⁻¹ at 300 K. This value surpasses that of most canted antiferromagnetic materials, making ErMn6Sn6 a promising candidate for advancing thermoelectric devices based on
Olajumoke Oluwatobiloba Emmanuel   +2 more
wiley   +1 more source

Experimental entanglement of 25 individually accessible atomic quantum interfaces

open access: yes, 2018
Quantum interface links stationary qubits in quantum memory with flying photonic qubits in optical transmission channels and constitutes a critical element for future quantum internet.
Chang, W.   +6 more
core   +1 more source

Cosmological quantum entanglement [PDF]

open access: yesClassical and Quantum Gravity, 2012
23 pages, 2 figures.
Eduardo Martín-Martínez   +1 more
openaire   +3 more sources

Stable and Dendrite‐Free Zinc Metal Anodes Via Interface Nanoarchitectonics for Aqueous Zinc‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
This review explores Zn anode challenges in aqueous ZIBs, including dendrites, corrosion, and side reactions, and discusses strategies for improvement through Zn anode, electrolyte, and separator modifications to enhance stability and efficiency. Abstract Aqueous rechargeable zinc‐ion batteries (ZIBs) are emerging as promising candidates for next ...
Pragati A. Shinde   +5 more
wiley   +1 more source

Quantum Entanglement in Deep Learning Architectures. [PDF]

open access: yesPhysical Review Letters, 2018
Modern deep learning has enabled unprecedented achievements in various domains. Nonetheless, employment of machine learning for wave function representations is focused on more traditional architectures such as restricted Boltzmann machines (RBMs) and ...
Yoav Levine   +3 more
semanticscholar   +1 more source

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