Quokka launches a new platform designed to build quantum literacy through hands-on programming and access to real hardware.

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

Before now, simulating even basic photonic experiments required specialised hardware; complex light behaviours were largely ...

Every accuracy and speed score comes from the Jev Decision Index 0.3.2 leaderboard (data published 15 October 2026), which ...

IITs are offering paid and free AI courses in 2026, covering generative AI, machine learning, data science and AI engineering. With fees ranging from zero for short self-paced courses to over Rs. 1 ...

Developing accurate numerical methods for strongly interacting fermions is crucial for improving our understanding of various quantum many-body phenomena, especially unconventional superconductivity.

On the ground floor of the Barcelona Supercomputing Center (BSC), MareNostrum 5 sits alongside three new quantum computers housed in an adjoining deconsecrated chapel. The supercomputer, equipped with ...

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum ...

Quantum computing has moved from academic curiosity to active commercial development, and the reading list has grown with it. Whether approaching the field for the first time or looking to go deeper ...

This large list by awesome-quantum-machine-learning (⭐ 3.2k) works like a “table of contents” for the field. It covers basics, algorithms, study materials, and libraries or software. It is excellent ...

Open source could well be the backbone of quantum computing. Explore how the most popular open source quantum computing frameworks work and what they can be used for. Quantum programming differs ...