Results 21 to 30 of about 3,692,422 (305)

Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks [PDF]

open access: yes, 2023
Classical artificial neural networks, built from elementary units, possess enormous expressive power. Here we investigate a quantum neural network architecture, which follows a similar paradigm.
Carollo, Federico   +5 more
core   +1 more source

On-chip deterministic operation of quantum dots in dual-mode waveguides for a plug-and-play single-photon source

open access: yesNature Communications, 2020
Resonantly-excited quantum-dot-based single photon sources feature very high purity, but also limited efficiency due to the need to suppress the residual pump.
Ravitej Uppu   +11 more
doaj   +1 more source

Entanglement, causality and quantum networks

open access: yes, 2023
Quantum nonlocality, generated by strong correlations between entangled systems, defies the classical view of nature based on standard causal reasoning plus physical assumptions.
Polino, E   +3 more
core   +1 more source

Quantum Neural Networks

open access: yesJournal of Computer and System Sciences, 2001
This paper initiates the study of quantum computing within the constraints of using a polylogarithmic ($O(\log^k n), k\geq 1$) number of qubits and a polylogarithmic number of computation steps. The current research in the literature has focussed on using a polynomial number of qubits. A new mathematical model of computation called \emph{Quantum Neural
Sanjay Gupta, R. K. P. Zia
openaire   +4 more sources

In situ upgrade of quantum simulators to universal computers [PDF]

open access: yes, 2018
Quantum simulators, machines that can replicate the dynamics of quantum systems, are being built as useful devices and are seen as a stepping stone to universal quantum computers.
Benjamin Dive   +7 more
core   +1 more source

An invitation to distributed quantum neural networks [PDF]

open access: yes, 2023
Deep neural networks have established themselves as one of the most promising machine learning techniques. Training such models at large scales is often parallelized, giving rise to the concept of distributed deep learning.
Pira, L   +3 more
core   +1 more source

Active Magnetic-Field Stabilization with Atomic Magnetometer

open access: yesSensors, 2020
A magnetically-quiet environment is important for detecting faint magnetic-field signals or nonmagnetic spin-dependent interactions. Passive magnetic shielding using layers of large magnetic-permeability materials is widely used to reduce the magnetic ...
Rui Zhang   +7 more
doaj   +1 more source

Enhancing photon generation rate with broadband room-temperature quantum memory

open access: yesScientific Reports, 2022
Photons with high generation rate is one of the essential resources for quantum communication, quantum computing and quantum metrology. Due to the naturally memory-built-in feature, the memory-based photon source is a promising route towards large-scale ...
Chao-Ni Zhang   +5 more
doaj   +1 more source

CUDA Quantum

open access: yes, 2023
<p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
core   +1 more source

Enforcing trust in quantum networks [PDF]

open access: yes, 2020
The phenomenal progress in quantum technologies over the past decades has laid the groundwork for the construction of quantum networks, which will channel the power of quantum theory to guarantee secure and efficient communication, computation, and much ...
Unnikrishnan, Anupama
core   +1 more source

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