Category Physics

Google Quantum AI realizes three dynamic surface code implementations

Google Quantum AI realizes three dynamic surface codes implementations
Credit: Google Quantum AI.

Quantum computers are computing systems that process information leveraging quantum mechanical effects. These computers rely on qubits (i.e., the quantum equivalent of bits), which can store information in a mixture of states, as opposed to binary states (0 or 1).

While quantum computers could tackle some computational and optimization problems faster and more effectively than classical computers, they are also inherently more prone to errors. This is because qubits can be easily disturbed by disturbances from their surrounding environment, also referred to as noise.

Over the past decades, quantum engineers and physicists have been trying to develop approaches to correct noise-related errors, also known as quantum error correction (QEC) techniques...

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Radiowave bursts linked to onset of intense auroral storms

Earth seen from space with a green auroral display blanketing the sky above the planet.
Auroral beads seen from the International Space Station. Credit: NASA

A University of Southampton study has revealed an intriguing new clue in the mystery of what triggers periods of very intense, brightly colored activity during displays of both the southern and northern lights.

Known as a “magnetospheric substorm,” this awe-inspiring phenomenon, which blankets the night sky in green and purple, is almost always preceded by what space scientists call “auroral beads”—a necklace-like wave of multiple luminous points of light which eventually evolve into the storm.

Southampton scientists have now shown there is a link between these auroral beads and the intensity of low frequency radio waves above the aurora in Earth’s magnetosphere—a vast area around our planet that is dominated...

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Magnetic fields power smarter soft robots with built-in intelligence

Magnetic fields power smarter soft robots with built-in intelligence

Soft robots are prized for their agility and gentle touch, which makes them ideal for traversing delicate or enclosed spaces to perform various tasks, from cultivating baby corals in laboratories to inspecting industrial pipes in chemical plants. However, achieving embodied intelligence in such systems, where sensing, movement and power supply work together in an untethered configuration, remains a challenge.

Flexible materials can deform and adapt, but their power sources are unable to do so. Conventional batteries often stiffen the robot’s body, drain quickly, or degrade under strain, all of which leave soft robots tethered or with a short lifespan.

Assistant Professor Wu Changsheng and his team from the Department of Materials Science and Engineering and the Department of Ele...

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Adaptive method helps light-based quantum processors act more like neural networks

A step toward practical photonic quantum neural networks
A new approach to photonic neural networks incorporates adaptive photon injection during the pooling stage. Credit: L. Monbroussou et al., doi 10.1117/1.AP.7.6.066012

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural network (QCNN)—could process information more efficiently by using quantum states instead of classical bits.

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible operations that neural networks need.

Adaptive state injection in photonic QCNNs
In a study published in Advanced Photonic...

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