Real Numbers, one of the most important and scoring topics in the syllabus. This chapter lays the foundation for advanced mathematical concepts such as arithmetic progressions, polynomials, and number ...

Abstract: Quantum Embeddings (QE) is an important component of Quantum Machine Learning (QML) algorithms to load classical data present in Euclidean space onto quantum Hilbert space, which are then ...

Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use with artificial intelligence.

Google's implementation of the Quantum Echoes algorithm involves sending a signal into the qubits on the Willow chip, ...

The good thing about Uber Freight is that we've been dealing with big transportation data for a long time,” Barber said.

Google scientists say they have taken a major step toward solving one of the hardest problems in computing. Their latest experiment, they argue, provides the most ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Abstract: A new meta-heuristic algorithm, termed the House Swallow Optimizer (HSO), is proposed. Inspired by the sophisticated behavioral repertoire of house swallows, this algorithm addresses the ...

This project explores the cognitive origins of the Euclidean algorithm, tracing its development from embodied group-splitting to recursive abstraction. It is intended for students, educators, and ...