In an era when cyberattacks evolve at machine speed, this convergence delivers far more than incremental improvements.

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

ABSTRACT: Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Critically, quantum wave ...

ABSTRACT: Grover’s algorithm is widely celebrated as providing quadratic quantum speedup for unsorted database search, forming the theoretical foundation for numerous claimed quantum advantages in ...

Variational quantum algorithms are widely viewed as a route to near-term quantum advantage, but their performance often depends on a small subset of influential parameters and on how entanglement ...

Abstract: This paper presents a novel approach for partitioning database sessions into groups using the quantum MaxCut problem solved by the Quantum Approximate Optimization Algorithm (QAOA). Each ...

BIP 360, a proposal to make Bitcoin more resistant to future quantum computing threats, has been updated and merged into the official BIP GitHub repository. BIP 360, a proposal aimed at preparing ...

Researchers at the Jülich Supercomputing Centre, working with NVIDIA, have pushed classical computing to a new frontier by fully simulating a universal 50-qubit quantum computer on Europe’s first ...