As a popular decentralized and distributed database exhibiting transparency unforgeability, blockchain has received widespread attention. At the time of writing, its security hinges on classical cryptography, which maintains high grade by exploiting potentially excessive computational complexity mathematical problems to be solved state-of-the-art computers. However, as technology develops, this encryption philosophy is likely challenged there risk 'store now decrypt later' attacks. A...

We report the determination of Land\'{e} $g_J$ factor and Zeeman coefficients for ground-state $^{171}$Yb$^+$, relevant to microwave quantum frequency standards (QFSs). The is obtained by using two independent methods: multiconfiguration Dirac-Hartree-Fock multireference configuration interaction, yielding a consistent value 2.002615(70). first- second-order are determined as 14,010.78(49) Hz/$\mu$T 31.0869(22) mHz/$\mu$T$^2$, respectively, based on calculated factor. These enable reduced...

The objectives of this study are to construct a deep convolutional neural network (DCNN) model diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images evaluate performance DCNN its auxiliary significance for clinical diagnosis treatment. We extracted 6643 IVCM from three hospitals' database as training set 1661 other two test examine model. Construction was performed using DenseNet-169. results MGD classifications by ophthalmologists...

Abstract With the unprecedented growth of smart devices
and rapid expansion internet things (IoT) networks,
researchers are delving deeper into studying next generation
of 6G communication technology. Within wireless commu nication networks, there more devices with massive data
requirements, necessitating reduction latency to make the
network reliable and faster. Related works have shown that
coherent Ising machines (CIM) possess greater...

Adaptive trading algorithms leverage artificial intelligence (AI) to enhance efficiency and profitability by dynamically responding real-time market conditions. Unlike traditional strategies based on static historical patterns, these continuously learn adjust, improving decision-making optimizing outcomes. The integration of predictive analytics enables them forecast trends with high accuracy, providing traders valuable insights. Furthermore, the convergence AI blockchain enhances...

Abstract In noisy intermediate-scale quantum era, the research on combination of artificial intelligence and computing has been greatly developed. Here we propose a circuit-based algorithm to implement residual neural networks, where connection channels are constructed by introducing auxiliary qubits data-encoding trainable blocks in networks. We prove that when this particular network architecture is applied l -layer data-encoding, number frequency generation forms extends from one, namely...

Abstract Solving linear differential equations is a common problem in almost all fields of science and engineering. Here, we present variational algorithm with shallow circuits for solving such problem: given an $$N \times N$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>N</mml:mi> <mml:mo>×</mml:mo> </mml:mrow> </mml:math> matrix $${\varvec{A}}$$ <mml:mi>A</mml:mi> , N -dimensional vector $$\varvec{b}$$ <mml:mi>b</mml:mi> initial $$\varvec{x}(0)$$...

Crop microbiome-phyllosphere interactions are vital for intercropping disease control. While evidence suggests enhances nutrient efficiency and recruits beneficial bacteria at the root-soil interface, limited research has explored changes in phyllosphere microbiome response to foliar diseases. Pot experiments were conducted investigate how wheat stripe rust, caused by Puccina striiformis f. sp. tritici (Pst) affects shoot biomass, total nitrogen potassium content, of bacteria, co-occurrence...

Background and aims: This research aimed to evaluate the effects of consecutive intercropping on soil phosphorus (P) partitioning, concentrations, sensitivity P fertilizer application, elucidating its impact bioavailability. Methods: A field experiment investigated fractions content under continuous wheat faba bean intercropping. Three levels (0, 45, 90 kg P2O5 ha−1 denoted as P0, P1, P2, respectively) three planting patterns (monocropped (MW), monocropped (MF), (W//F)) were established...

China Mobile is the biggest telecommunication operator in world, with more than 600 million customers and an ever increasing information technology (IT). To provide better service to reduce cost of IT systems, adopted a centralized strategy based on cloud computing. The big data issue becomes most significant challenge computing structure. This paper presents Mobile's platform cloud. integrates storage, development deployment ETL (Extract, Transfer, Load) DM (Data Mining) into unified...

Pan-sharpening is a common image-fusion method. To improve the quality of fused images, multilevel deep learning method proposed in this paper. In training phase, we introduce Coupled Sparse Denoising Autoencorder (CSDA) to reconstruct high-Resolution (HR) multispectral (MS) image from low-Resolution (LR) MS and HR Panchromatic (Pan) image. CSDA has four networks including LM-HP network, HR-MS feature mapping network fine-tuning network. The hidden features as well function between two are...

With the deeply studied of quantum computing by research fellows, computational complexity and time algorithms gradually increase. The simulator provides an effective platform for development verification algorithms. However, running memory overhead during calculation will increase exponentially with number qubits. Therefore, difficulty high-speed on classical computers At present, a single node has been unable to meet resource requirements algorithm in process, it is necessary expand...

Anomaly detection in hyperspectral images aims to separate the abnormal pixels from background, and becomes an important application of data processing. based on Low-Rank Sparse Representation (LRASR) can detect accurately. However, with growth volumes, this algorithm consumes a huge amount time computational resources, needs be improved accordingly. Spark is distributed big processing platform, applicable for complex iterative calculations, because its powerful in-memory computation...

In the recent noisy intermediate-scale quantum era, research on combination of artificial intelligence and computing has been greatly developed. Inspired by neural networks, developing networks with specific structures is one most promising directions for improving network performance. this work, we propose a circuit-based algorithm to implement residual (QResNets), where connection channels are constructed introducing auxiliary qubits data-encoding trainable blocks networks. Importantly,...

Abstract In this work, a high isolation transmitter–receiver antenna with omnidirectional conical beam operating at 61.5 GHz is presented. The proposed dual-antenna system consists of transmitter (TX) and receiver (RX) the same structure, composed circular metal patch ring slot shorting vias, fed by coaxial probe their respective geometric center. And both antennas are placed on platform, positioned symmetrically each other. To increase between them, three different decoupling methods...

In the decades, general field of quantum computing has experienced remarkable progress since its inception. A plethora researchers not only proposed algorithms showing power but also constructed prototype computers, making it walk into our tangible reality. Those advancements in have opened doors for novel applications, one which is databases. Researchers are trying to use a paradigm brought by revolutionize various aspects database management systems. this paper, we envision synergy between...

Abstract In this paper, we further verify the validity of quantum partial adiabatic search algorithm which was initialized in previous related works by revisiting its circuit model. The main results got here are as follows. When considering implementing evolution on a circuit, correction is given for time slice estimation first stage during approximation works, new evidence provided complexity cost $O(\sqrt{N}/M)$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>O</mml:mi>...

Distributed shared buffer (DSB) is a well-known solution to support multi-master database systems. DSB involves controlling access data among different nodes through distributed and lock-based cache coherence protocols. Existing implementations resolve conflicts at the page level lack flexibility required by modern cloud Authors present HyBuffer which mixes rows pages in buffer. It enables multiple masters independently modify on same page, thereby enhancing concurrency performance. adopts...

The security of commercial encryption algorithms has always been a focus attention. SM4 algorithm, cryptographic standard, recognized by ISO/IEC as an international standard and shown excellent performance on classical computers. However, with the development quantum computing, traditional are facing new challenges. This paper investigates realization algorithm. By applying Grover algorithm to we conducted exhaustive attack provided estimation required resources. study offers novel...