Classiq, the leading quantum computing software company, Comcast and AMD today announced the completion of a groundbreaking trial aimed at improving Internet delivery by leveraging quantum algorithms ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher ...

The authors are social theorists who have long studied the roots and consequences of inequality. Aug. 15, 2025 In the early years of the 20th century, America had a “boy problem.” Boys on the street, ...

It is impossible to imagine a master chef who doesn’t know how to cook, a cabinet maker who doesn’t know anything about carpentry, or a pianist who can’t read music. All three sound like ...

WASHINGTON — As military operations increasingly depend on rapid and resilient communications across multiple domains, satellite operators are racing to provide not just bandwidth, but smarter ways to ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

We propose the Trust Region Preference Approximation (TRPA) algorithm ⚙️, which integrates rule-based optimization with preference-based optimization for LLM reasoning tasks 🤖🧠. As a ...

This paper reviews a hybrid quantum-classical distributed algorithm for NP-hard combinatorial optimization problems, which is embedded in IBM Qiskit's Alternating Direction Method of Multipliers (ADMM ...

Abstract: Finding the shortest vector in a lattice is a NP-hard problem. The best known approximation algorithm for this problem is LLL algorithm with the approximation factor of αn-1\2, α≥4\3, which ...