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Category: quantum physics – Page 699

Quantum computers could solve complex tasks that are beyond the capabilities of conventional computers. However, the quantum states are extremely sensitive to constant interference from their environment. The plan is to combat this using active protection based on quantum error correction. Florian Marquardt, Director at the Max Planck Institute for the Science of Light, and his team have now presented a quantum error correction system that is capable of learning thanks to artificial intelligence.

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A future ‘quantum internet’ could find use long before it reaches technological maturity, a team of physicists predicts.

Such a network, which exploits the unique effects of quantum physics, would be fundamentally different to the classical Internet we use today, and research groups worldwide are already working on its early stages of development. The first stages promise virtually unbreakable privacy and security in communications; a more mature network could include a range of applications for science and beyond that aren’t possible with classical systems, including quantum sensors that can detect gravitational waves.

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Perhaps physicists should leave human intuition at the laboratory door when designing quantum experiments too.

An Australian crew enlisted the help of a neural network — a type of artificial intelligence — to optimise the way they capture super-cold atoms.

Usually, physicists smoothly tune lasers and magnetic fields to gradually coax atoms into a cloud, according to study co-author Ben Buchler from the Australian National University.

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UK-based Crypto Quantique has announced the launch of what is being claimed as the world’s most advanced security product for IoT devices – with a quantum edge.

The technology behind this solution includes world’s first quantum driven secure chip (QDSC) on silicon which, when combined with cryptographic APIs, provides highly scalable, easy-to-implement and seamless end-to-end security for any connected device.

Quantum computing differs from classical computing in that it has the potential to find patterns and insights based on data which does not exist, rather than finding patterns in vast amounts of existing data. Its potential applications include improving security through quantum physics and enhancements to machine learning and artificial intelligence.

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