this post was submitted on 05 May 2026
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Quantum technologies, including quantum computers, rely on materials that display unusual quantum effects under specific conditions. Researchers have found that these properties can also be engineered by adjusting a material’s structure. For example, stacking and slightly twisting layers of graphene creates a moiré pattern that can transform the material into a superconductor.

As scientists build increasingly intricate layered systems, they reach structures such as quasicrystals and super-moiré materials. The challenge is predicting which designs will be useful. Modeling these materials requires calculating vast amounts of data. In the case of quasicrystals, this can involve more than a quadrillion numbers, far exceeding the limits of even the most powerful supercomputers.

Researchers at Aalto University’s Department of Applied Physics have introduced a quantum-inspired algorithm that can handle these massive, non-periodic systems with remarkable speed. According to Assistant Professor Jose Lado, this work also highlights a growing feedback loop in quantum technology...

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[–] Tramort@programming.dev 2 points 2 days ago