A5024322441- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Quantum Mechanics and Applications
- Postharvest Quality and Shelf Life Management
- Potato Plant Research
- Phytochemicals and Antioxidant Activities
- Quantum optics and atomic interactions
- Quantum-Dot Cellular Automata
- Advanced Measurement and Metrology Techniques
- Mycotoxins in Agriculture and Food
- Spectroscopy Techniques in Biomedical and Chemical Research
- Energy Harvesting in Wireless Networks
- Cooperative Communication and Network Coding
- Quantum and electron transport phenomena
- Advanced machining processes and optimization
- Plant Physiology and Cultivation Studies
- Advanced MIMO Systems Optimization
- Advanced Numerical Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Silymarin and Mushroom Poisoning
- IoT and Edge/Fog Computing
- Enzyme-mediated dye degradation
- Tea Polyphenols and Effects
- Plant Gene Expression Analysis
- Advanced Memory and Neural Computing
Central South University
2015-2025
Central South University of Forestry and Technology
2021-2025
South China Normal University
2015-2025
Beijing Tsinghua Chang Gung Hospital
2025
Tsinghua University
2025
Shandong Agricultural University
2014-2024
Shandong Jianzhu University
2024
TianjinSino-German University of Applied Sciences
2021
Xiangya Hospital Central South University
2020
Weinan Normal University
2020
The flesh colour and phenolic metabolism in potato tuber during curing after cut were investigated. Result indicated that postharvest not only changed curing, but also improved fresh-cut for 12 days fresh cut. Significantly lower PAL higher content PPO activities treatment potatoes detected compared to the control, which lead browning slices from treated potatoes. HPLC analysis revealed amounts of total phenolics, chlorogenic acid, gallic acid protocatechuic induced by highly accumulated Our...
Abstract An efficient cryptography scheme is proposed based on continuous-variable quantum neural network (CV-QNN), in which a specified CV-QNN model introduced for designing the algorithm. It indicates an approach to design cryptosystem contains processes of key generation, encryption and decryption. Security analysis demonstrates that our security. Several simulation experiments are performed Strawberry Fields platform processing classical data “Quantum Cryptography” with describe...
In linguistics, the uncertainty of context due to polysemy is widespread, which attracts much attention. Quantum-inspired complex word embedding based on Hilbert space plays an important role in natural language processing (NLP), fully leverages similarity between quantum states and tokens. A containing multiple meanings could correspond a single particle may exist several possible states, sentence be analogous system where particles interfere with each other. Motivated by quantum-inspired...
With the advantages of high mobility and flexible deployment, Unmanned Aerial Vehicle (UAV) combines with Mobile Edge Computing (MEC) is a promising technology. When dynamic Terminal Users (TUs) offload tasks to UAVs, eavesdroppers may eavesdrop on channel information. The offloading decisions, trajectory plannings UAVs resource allocation objective high-capacity secure communication challenging problem. In this paper, we design multi-UAVs MEC system, where original region divided into...
Abstract Convolutional neural network (CNN), as a prominent machine learning model, is crucial in image classification and feature extraction by completely utilizing the correlation information of data. Currently, CNN facing challenges slow computing speed, expanding data scale poor interpretation for rapidly increasing Hilbert space. Fortunately, quantum convolutional (QCNN) promises an elegant solution to improve efficiency processing combining superiority capability CNN. However, most...
Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed develop machine learning approaches enhance the of fetal macrosomia at different stages pregnancy. retrospective involved 500 pregnant women who delivered singleton infants Beijing Tsinghua Changgung Hospital between December 2019 July 2024. The training set comprised 208 cases non-macrosomia cases, with 84 additional used for external...
A quantum circuit learning approach is studied to carry out the fast-fitting of Gaussian functions.First, a parameterized structure designed for circuits based on boson sampling model.And then, training procedure exploiting gradient-based optimizations presented iteratively update gradient loss function concerning parameters.For efficiency, two kinds loss, kernel maximum mean discrepancy and absolute error, are used in procedure, which both competent achieve well.It significant that losses...
We propose a method to improve transmission distance of continuous-variable quantum key distribution via heralded hybrid linear amplifier (HLA), involving an ideal deterministic and probabilistic noiseless amplifier. The phase-insensitive amplification light states may experience degradation signal-to-noise ratio (SNR) 3dB which can be surmounted by the process. new allows one tune between regimes high gain or noise reduction control trade-off coefficient finite heralding probability...