Latest Articles for Computer Science

New protocols enhance quantum computing capabilities using innovative techniques and classical optimization.

A look into the significance and applications of graded ideals in mathematics.

Examining how noise affects quantum systems, particularly the anharmonic oscillator.

A new method improves video colorization using real-time tuning techniques.

Neuromorphic computing enhances data filtering in high-energy physics experiments.

New techniques aim to improve image quality and reduce generation time.

Examining difficulties in finding strong invariants for polynomial loops and their implications.

A new logical framework strengthens multi-agent systems against unexpected changes.

A new method enhances imitation learning by effectively combining expert demonstrations.

Learn about new methods for efficient memory resetting in technology.

This article discusses creating fair hashmaps for equitable data management.

An overview of the weighted -server problem and its complex solutions.

Examining various strategies for effective optimization in finite and infinite search spaces.

Discover how tropical polynomial division enhances neural network efficiency.

Learn how distance oracles improve pathfinding in complex networks.

A new method improves data analysis by using random forests in manifold learning.

An overview of anyons and their role in topological quantum computing.

Investigating how quantum computations can be simulated using classical methods.

A look at how surjection property and computable type interact in mathematical spaces.

A look into the role of good-for-MDPs automata in decision-making processes.

A deep dive into the challenges of computational problem-solving.

A study on weak Galerkin method for solving challenging boundary value problems.

New methods improve efficiency in logical proof generation and checking.

Ideal lattices provide security benefits and challenges in cryptographic systems.

Exploring the role of saturating automata in understanding concurrent programming.

An accessible overview of quantum Cayley graphs and their significance.

This article delves into improving methods for uncertain data optimization.

Learn how implicit differentiation boosts automatic differentiation efficiency in engineering and science.

Discover MooViE, a new approach for visualizing complex datasets.

MARS framework optimizes deep neural networks on multi-accelerator systems.

This article examines the isoperimetric problem and its significance in geometry.

Exploring fair allocation methods using Maximin Share principles.

A new method tackles the Shortest Two Disjoint Paths problem amidst negative weights.

Explore how GNNs improve variable mapping for program comparison and repair.

This article examines Kronecker coefficients and their relation to quantum computing and representation theory.

A new dataset captures citations from papers without DOIs in Computer Science.

A look into CSS codes and their role in quantum error correction.

An overview of essential ideas for effective process development.

Examining the balance of fairness and efficiency in resource allocation.

This article discusses a key optimization method and its applications.