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How the way we visualize qubits shapes what we understand, what we misunderstand, and why learning quantum computing doesn't have to feel impossible.

Researchers at the University of Osaka have created SEAFOOD, a platform that links the university's OCTOPUS supercomputer with Japanese-built superconducting quantum computers through open-source software. It is the first integration of its kind in Japan and was demonstrated with a quantum chemistry calculation in which the two types of machines ran as a single workflow.

A research system at Physical Superintelligence, running a non-public Anthropic model, found a machine-checked proof of the Aaronson-Ambainis conjecture, a central open problem in quantum computing.

Quantum computing is emerging as a new layer of computation and knowledge, whose implications for the AI of the future remain difficult to foresee.

Anthropic's Claude AI has designed quantum circuits that improve on the best published designs by an order of magnitude or more in some cases. The AI was given plain-language specifications for eight computational tasks for quantum circuits, and used an automated evaluator to iteratively improve its designs.

ORCA Computing unveils its PT-3 photonic quantum computer, reporting gains in AI-driven protein discovery and industrial optimization through hybrid quantum-classical computing.

Scientists demonstrate real-time quantum feedback control on a 100-qubit system, a key step toward fault-tolerant quantum computers that can fix their own mistakes during calculations.

IonQ, Oak Ridge National Laboratory, and NVIDIA demonstrated that generative AI can reduce quantum circuit finding from 11 minutes to 28 seconds. The breakthrough strengthens the case for hybrid quantum-classical computing.