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This simple magnetic trick could change quantum computing forever

Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional approaches that rely on rare spin-orbit interactions, this method uses magnetic interactions—common in many materials—to create robust topological excitations. Combined with a new computational tool for finding such materials, this breakthrough could pave the way for practical, disturbance-resistant quantum computers.

Illustration of a new strategy to create materials with robust quantum properties, by harnessing magnetic interactions (represented by the red and blue arrows). The small green spheres represent sites where electrons can reside and move along the chain. Special magnetic atoms (purple spheres with arrows) interact with the electrons at certain sites, shown by the blueish clouds. These interactions create protected edge states (green cloud) that could help make quantum computers more stable and less sensitive to noise. Credit: Jose L. Lado

The entry of quantum computers into society is currently hindered by their sensitivity to disturbances in the environment. Researchers from Chalmers University of Technology in Sweden, and Aalto University and the University of Helsinki in Finland, now present a new type of exotic quantum material, and a method that uses magnetism to create stability. This breakthrough can make quantum computers significantly more resilient - paving the way for them to be robust enough to tackle quantum calculations in practice.

At the atomic scale, the laws of physics deviate from those in our ordinary large-scale world. There, particles adhere to the laws of quantum physics, which means they can exist in multiple states simultaneously and influence each other in ways that are not possible within classical physics. These peculiar but powerful phenomena hold the key to quantum computing and quantum computers, which have the potential to solve problems that no conventional supercomputer can handle today.

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