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After decades of fragility, error-corrected quantum computing has crossed a threshold signaling a clear, if cautious, path toward practical quantum advantage and future quantum AI.

Google's Willow quantum processor delivers another quantum computing breakthrough, demonstrating quantum advantage with performance far beyond today's fastest classical supercomputers.

Two Nature studies unveiled silicon quantum processors using spin-shuttling and CMOS control, bringing practical quantum computing closer than ever before.

Amazon’s new Ocelot chip uses clever design to cut errors, aiming for practical quantum computers with fewer resources.

Researchers at TU Wien create a silicon-germanium transistor by doping the oxide layer, leading to smaller, faster devices that save energy and suit quantum chips.

New optical technology uses twisted light and specialized materials to stabilize qubits without extreme cold, potentially paving the way for affordable and widespread quantum computing networks in the future.

This new superconducting qubit lasts three times longer than top lab versions, pushing quantum computers toward practical use by boosting error correction and system scalability.

A game for quantum computers demonstrates stable patterns for reliable calculations and potential real-world applications.

IBM aims to build a fault-tolerant quantum computer by 2029, capable of solving complex problems faster and more efficiently than traditional computers.

Microsoft’s Majorana 1 chip uses a new topological design to push quantum computing toward solving major real-world problems.