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Quantum enhanced optical sensors in data optimization for huge communication network
The Internet of Things (IoT)-based limited WSN (wireless sensor network) has garnered much interest and advancement over the past several years to...
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Taiji-TianQin-LISA network: Precisely measuring the Hubble constant using both bright and dark sirens
In the coming decades, the space-based gravitational-wave (GW) detectors such as Taiji, TianQin, and LISA are expected to form a network capable of...
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Harnessing quantum power using hybrid quantum deep neural network for advanced image taxonomy
This paper introduces the Hybrid Quantum Deep Neural Network (HQDNN), a pioneering model that amalgamates classical Convolutional Neural Network...
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Multi-chimera states in a higher order network of FitzHugh–Nagumo oscillators
A chimera state represents a distinct configuration within interconnected oscillatory networks comprising both coherent and incoherent oscillators....
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Simulation of information transmission of IoT communication nodes based on fuzzy hierarchical optical neural network
As a large and complex network with uneven spatial distribution, IoT is widely used in many optical network service industries. However, in the...
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Temporal Convolutional Network for Acoustic Echo Cancellation in Double-Talk Scenarios
AbstractIn communication systems, when the loudspeaker and the microphone are coupled together, it creates acoustic echoes. With the increasing...
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LOEN: Lensless opto-electronic neural network empowered machine vision
Machine vision faces bottlenecks in computing power consumption and large amounts of data. Although opto-electronic hybrid neural networks can...
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Condensation of eigenmodes in functional brain network and its correlation to chimera state
Condensation has long been a closely studied problem in statistical physics but little attention has been paid to neural science. Here, we discuss...
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The design of accelerator control network analysis system and its application
PurposeThe control network, which is a crucial component of the contemporary accelerator control system, connects all servers, workstations, PCs, and...
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Identification of slip parameters based on fiber Bragg grating and neural network
This paper proposes a flexible sensor made of fiber Bragg gratings (FBGs) package that can effectively recognize the direction and velocity of...
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Quantum multicast, multi-output protocols of quantum state sharing and quantum operation sharing via six-particle cluster state
By using the six-particle maximally entangled cluster state as a quantum channel, three new theoretical protocols are put forward to synchronously...
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Wave propagation in a light-temperature neural network under adaptive local energy balance
External electric and mechanical stimuli can induce shape deformation in excitable media because of its intrinsic flexible property. When the signals...
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Big data analytics for dynamic network slicing in 5G and beyond with dynamic user preferences
Network slices represent a valuable technique to utilize the full resources of fifth-generation (5G) platforms. This allows verticals to control and...
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An improved quantum network communication model based on compressed tensor network states
Almost currently published quantum key distribution (QKD) protocols are variants of the first protocol proposed by Bennett and Brassard, and the...
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Deep learning based optical network transmission application in Chinese English translation system in cloud computing environment
At present, human translation is characterized by low efficiency, high cost, high consumption of resources and time, so it is urgent to study...
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Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor
Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum...
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Random Laser Based on Materials in the Form of Complex Network Structures
The theory of a random laser with an interface in the form of random or scale-free networks whose nodes are occupied by microcavities with quantum...
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Adaptation of state-of-the-art neural network architectures to interference fringe reduction in absorption spectroscopy
State-of-the-art neural network architectures in image classification and natural language processing were applied to interference fringe reduction...
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Neural Network Detection of Microparticles on Reconstructed Holographic Images of Volumetric Medium
AbstractThe article presents the results of using two neural networks for solving problems of detection and classification of microparticles in...
