Latest Articles for Computer Science

Explore new algorithms improving speed and quality in solving linear equations.

Examining effective strategies for playing the graph coloring game on multipartite graphs.

This article examines how different methods to convert SAT problems impact quantum annealer performance.

This study enhances lattice-based cryptography for better efficiency and security in digital systems.

Exploring the reconfigurability of arc-disjoint arborescences and their implications.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

This research shows solvability in key semigroup problems for certain metabelian groups.

A look into relation algebras and the k-consistency method for network satisfaction.

The 3H-TH model improves knowledge graph embeddings by capturing complex relationships.

Researchers bridge graphs and logic to enhance clarity in logical reasoning.

A new algorithm improves time-parallel computing methods for complex problems.

HotStuff offers an efficient solution to blockchain consensus challenges.

Research reveals effective methods for solving Horn-SAT challenges using parallel computing.

A look at methods to reduce noise in quantum computers.

An overview of properties and functions in two-ended graphs.

New algorithms improve efficiency in moving resources between distributions.

This article presents an innovative mass lumping method for enhanced accuracy in structural dynamics.

A look into down-left graphs and their unique properties.

Exploring neural ordinary differential equations and their potential in deep learning.

A new algorithm improves sampling accuracy and efficiency for hard-sphere models.

An overview of qubit routing and its significance in quantum computing efficiency.

A new method improves thermal predictions, ensuring better performance for multi-core processors.

This study focuses on creating tough environments for DRL agent training.

A look at alphabet-partitioning for effective string management.

An overview of graph parameters and their significance in various fields.

A new technique enhances quantum control efficiency for better computing performance.

This article presents a method to solve complex Kirchhoff type equations efficiently.

A method for testing conductance without centralized data collection.

A new method speeds up solving fourth order partial differential equations using parallel computing.

This study examines how prompt placement affects language model performance.

A new method improves DNN efficiency for small devices without losing accuracy.

A new framework optimizes performance in Distributed Quantum Computing by managing multiple processors.

A new approach to tackle NP-hard problems using hybrid models.

New methods use Pattern QUBOs to improve satisfiability problem transformations.

This framework uses oracles to improve code generation accuracy.

Combining active learning and parameter-efficient fine-tuning improves model performance with limited data.

Researchers optimize quantum circuit simulations using ZX-calculus and community-based strategies.

This article examines the complexities of shortest paths in graph associahedra.

This article discusses techniques to optimize control problems in distributed systems.

A new approach enhances retrieval efficiency while minimizing hardware requirements.