Xin Wang

Quantum measurement aids in simulating operations beyond classical limits, impacting computing and information processing.

Researchers are developing synthetic voice data to protect privacy in voice recognition.

Researchers develop strategies to estimate quantum states despite noise challenges.

A closer look at the performance and challenges of large language models in practice.

Introducing methods to simplify data analysis in large datasets.

Quantum neural networks offer new approaches for processing information in artificial intelligence.

This study explores training strategies to enhance detection of fake audio.

A2GNN model enhances performance in adapting graph knowledge across different domains.

Discovering methods to reverse unknown quantum processes using virtual combs.

A look into shadow simulation and its impact on quantum communication.

Union simplifies managing hybrid workloads in high-performance computing environments.

This method improves routing decisions in Dragonfly networks using machine learning.

Intelligent routing methods improve performance in Dragonfly supercomputing networks.

New theories on dark energy could reshape our understanding of cosmic expansion.

A new method helps language models generate text faster and more efficiently.

Metallicity study reveals insights into galaxy history and star formation.

This article discusses key developments in improving quantum state quality.

Examining the limitations and costs of circuit knitting in quantum computing.

Combining SmoothQuant and GPTQ improves efficiency and performance of large language models.

Examining the difficulties of measuring cosmic signals from the early universe.

Exploring the balance between coherence and distinguishability in quantum systems.

Seed-TTS creates lifelike speech from text for various applications.

Examining Lyman-alpha nebulae reveals insights into gas dynamics around galaxies.

A new benchmark addresses biases in link prediction evaluations for better real-world applications.

Current models struggle with spatial reasoning, relying more on text than images.

This article discusses application performance issues in Dragonfly+ network systems.

A new method improves routing for electric vehicle deliveries.

Study reveals methods for efficient target search by mobile agents in circular areas.

Research on giant atoms reveals new possibilities in quantum computing and communication.

A new metric offers insights into quantum circuit learnability without extensive training.

Cell-free networks improve wireless communication, offering better connectivity and performance.

A look at optimizing data packet delivery in wireless mesh systems.

A new model enhances coding of collaborative skills with limited data.

U-MedSAM improves accuracy and reliability in medical image segmentation.

Malacopula challenges the reliability of automatic speaker verification technologies.

Exploring the transmission of classical information via quantum channels.

A new method improves the accuracy of foreground removal in galaxy surveys.

New methods improve detection of fake audio in real-world conditions.

A fresh evaluation method for large language models using nested API calls.

A new model for better relation extraction using syntax and context.

This new system improves speed and efficiency in visual data processing.

Causal language models show promise in solving Sudoku and Zebra puzzles.

This study explores nonstabilizerness generation in quantum systems, focusing on innovative entropy measures.

Quantum networks connect devices using entangled states for secure communication and processing.

A look into how metallicity impacts galaxy formation and evolution.

Drones improve wildlife conservation through efficient mapping and data collection.

Edge intelligence and quantum computing enhance satellite-terrestrial networks for better efficiency.

A new framework improves how language models retrieve information.

Examining the role of GNP differentiation in battling brain tumors.

MFTP transforms how self-driving cars predict movements without detailed maps.

CAMA enhances federated learning efficiency while reducing energy consumption and emissions.

Examining the significance of symmetry in understanding quantum systems.

Learn how TOrtho-Gaussian improves the creation of true digital maps.

A fresh approach paves the way for better quantum state analysis with fewer resources.

Learn how BOSS is revolutionizing ion trap quantum computers.

Scientists use deep learning to restore faint cosmic signals for better understanding of the universe.

Discover how light interacts with atoms to drive technological advancements.

Learn how to check if neural networks remain accurate with data changes.

Learn how scientists identify Hamiltonians in quantum systems through innovative techniques.

ResQ optimizes large language models, enhancing performance and reducing costs.

Discover how FashionFAE transforms online shopping with fine-grained fashion insights.