Understanding the chemical properties of a molecule is an inherently quantum problem, making quantum computers a good tool ...

Quantum chemistry is quietly entering a new phase, one where some of the hardest problems in materials science are finally ...

Rice quantum computing researchers have introduced a novel algorithm that earned the team a place in the global XPRIZE Quantum Applications competition.

Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

NIST’s post-quantum public key encryption algorithm ML-KEM (a.k.a. CRYSTALS-Kyber) reduces to the hardness of solving mathematical problems in lattices. Similarly the security of two of NIST’s ...

Quantum computers are coming. And when they arrive, they are going to upend the way we protect sensitive data. Unlike classical computers, quantum computers harness quantum mechanical effects — like ...

We can quibble over the exact timeline, but the quantum future is an approaching certainty, argues Arpa Network CEO Felix Xu. The time to act is now, while we still can.