Abstract Deep learning, transforming input data into target prediction through intricate network structures, has inspired novel exploration in automated diagnosis based on medical images. The distinct morphological characteristics of chest abnormalities between drug‐resistant tuberculosis (DR‐TB) and drug‐sensitive (DS‐TB) computed tomography (CT) are potential value differential diagnosis, which is challenging the clinic. Hence, 1176 CT volumes from equal number patients with (TB), we...

High-fidelity entanglement plays an important role in quantum networks for guaranteeing the integrity of information processing. We present error identification purification protocol (EIEPP) maintaining high-fidelity stationary systems. In EIEPP, hybrid controlled-x gate systems and high-dimensional spatial-mode state photons has been constructed using a stationary-whispering gallery mode resonator-waveguides system, it is used to construct number (ENG) position (EPG) noisy entangled Using...

In this paper, a realistic interpretation (REIN) of the wave function in quantum mechanics is briefly presented. We demonstrate that REIN, microscopic object its real existence rather than mere mathematical description. Specifically, can exist disjointed regions space just as distributed, travels at finite speed, and collapses instantly upon measurement. Furthermore, we analyze single-photon interference Mach-Zehnder interferometer (MZI) using REIN. Based on this, propose experimentally...

Photons that are entangled or correlated in orbital angular momentum have been extensively used for remote sensing, object identification and imaging. It has recently demonstrated intensity fluctuations give rise to the formation of correlations components positions random light. Here we demonstrate spatial signatures phase information an with rotational symmetries can be identified using classical The Fourier imprinted digital spiral spectrum object, as measured through correlations, unveil...

A new method for producing computer generated holograms using line scanning is presented. Using the centrosymmetry and axisymmetry of principal fringe patterns in a novel look-up table method, proposed only needs to calculate store intensity data scan pattern. The memory size amount computation can be significantly reduced method. calculational experimental results show that this effective.

Lensless ghost imaging has attracted much interest in recent years due to its profound physics and potential applications. In this paper we report studies of the robust properties lensless system with a pseudo-thermal light source strongly scattering medium. The effects positions strong medium on are investigated. system, is split into two correlated beams by beam splitter. One goes charge-coupled detector camera, labeled as CCD2. other an object then collected another CCD1, which serves...

We propose a concurrent single-pixel imaging, object location, and classification scheme based on deep learning (SP-ILC). used multitask learning, developed new loss function, created dataset suitable for this project. The consists of scenes that contain different numbers possibly overlapping objects various sizes. results we obtained show SP-ILC runs processes to locate in scene with high degree precision order produce quality images the objects, accurately classify all low sampling rate....

A novel, to the best of our knowledge, optical fiber whispering-gallery mode (WGM) sensor for simultaneously measuring humidity and temperature is proposed investigated. The realized by a polyvinyl alcohol (PVA)-coated capillary tube coupling with an single-mode (SMF), which integrated Bragg grating (FBG). as-fabricated can be used not only relative (RH) sensing but also detection. achieved sensitivities are −181.2 pm/%RH 10.5 pm/°C, respectively. easy fabrication very high sensitivity...

We propose a novel combination of coherent detection with single-pixel imaging to produce, for the first time, full-field simultaneous spatial and velocity imaging. experimentally demonstrated that both clear image map can be created at low sampling rate using compressed sensing algorithm. The experimental setup measure speeds from 2.66 cm/s 1327.34 an resolution cm/s. This dual-modality proposal expands range applications

Random numbers are one of the key foundations cryptography. This work implements a discrete quantum random number generator (QRNG) based on tunneling effect electrons in an avalanche photo diode. Without any post-processing and conditioning, this QRNG can output raw sequences at rate 100 Mbps. Remarkably, statistical min-entropy 8,000,000 bits sequence reaches 0.9944 bits/bit, validated by NIST SP 800-90B 0.9872 bits/bit. metric is currently highest value we have investigated for sequences....

Ghost imaging (GI) is an technique that uses the second-order correlation between two light beams to obtain image of object. However, standard GI affected by optical background noise, which reduces its practical use. We investigated robustness instant ghost (IGI) algorithm against noise and compare it with conventional algorithm. Our results show IGI extremely resistant spatiotemporally varying can change over a large range. When in relation signal, will still perform well conditions prevent...

We propose and perform an interference experiment involving a distributed angular double-slit the orbital momentum (OAM) correlations of thermal light. In experiment, two spatially separated apertures are placed in correlated light beams generated by splitting beam via splitter. The superposition slits constitutes two-photon measurements. pattern is measured even though each interacts with different part object. This scheme allows us to discriminate among amplitude objects using classical...

Single-pixel imaging (SPI) uses a single-pixel detector to create an image of object. SPI relies on computer construct image, thus increasing both the size and cost limiting its application. We developed instant (ISPI), on-chip system that implements real-time at rate 25 fps. ISPI ghost algorithm we proposed, which leverages signal differences for creation. It does not require computer, greatly reduces size. The reconstruct time creation is almost zero because little processing required...

Ghost imaging (GI) is an technique that uses the correlation between two light beams to reconstruct image of object. Conventional GI algorithms require large memory space store measured data and perform complicated offline calculations, limiting practical applications GI. Here we develop instant ghost (IGI) with a differential algorithm implemented high-speed on-chip IGI hardware system. This signal consecutive temporal measurements reduce requirements without degradation quality compared...

In this paper, we propose and analyze an efficient high-dimensional quantum state transfer (QST) scheme through XXZ-Heisenberg spin chain in inhomogeneous magnetic field. By the use of a combination coherent coupling free wave approximation, pure unitary evolution results perfect swap operation between two remote registers mediated by uniform data bus feasibility is confirmed numerical simulations. Also, observe that either strong z-directional or high number can partly suppress thermal...

Currently the UAV photographic data is unstable, turbulent and inaccurate, these flaws make image stitching difficult. This paper proposed an innovative fast method based on global subdivision GeoSOT grid frame. And this can apply to high-speed of a certain area at different times UAV. The experiment result shows advantages new over traditional one.

How to integrate labels from multiple labelers in order obtain an accurate estimate of the ground truth is a major topic crowdsourcing. One challenging issue that, labelers' abilities may vary significantly and tasks distinguish each other difficulties. Moreover, for crowdsourcing system, task distributors have no idea advance how many will be enough task. Consequently, online assignment mechanism based on labeler expertise question heterogeneousness becomes necessary. In this paper, we...

A realistic interpretation(REIN) of wave function in quantum mechanics is briefly presented this work. In REIN, the a microscopic object just its real existence rather than mere mathematical description. Quantum can exist disjoint regions space which as distributes, travels at finite speed, and collapses instantly upon measurement. The single photon interference Mach-Zehnder interferometer analyzed using REIN. particular, we proposed experimentally implemented generalized delayed-choice...

The human brain is thought to be an interconnected network. In network analysis of the brain, one most concerned issue how measure altered directed connectivity component. this paper, extended network-based statistics (e-NBS) proposed component alteration. method can identify weakly and strongly connected components networks using t-test non-parametric test under a range threshold values. A construction convergent cross-mapping (CCM) also proposed, which estimates causal relationships from...

Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited cases where historical data scarce. Inspired by the outstanding performance of large language (LLMs) computer vision and natural processing, this paper aims to discuss potential time series forecasting with scarce data. Specifically, model constructed as a generative pre-trained transformer (TimeGPT), which trained on massive diverse datasets consisting 100 billion points (e.g.,...

We have introduced, for the first time, a protocol Continuous-Variable Measurement-Device-Independent Quantum Key Distribution (CV-MDI-QKD) in terahertz (THz) frequency band. conducted secret key rate analysis against collective attacks. The proposed THz CV-MDI-QKD is immune to all detector attacks, significantly enhancing security assurance of practical CVQKD implementations. Furthermore, we investigated impact finite length (the finite-size effect) and reconciliation efficiency on...