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.
“Crucially, these new quantum algorithms can enable the development of new quantum materials to build new paradigms of quantum computers, creating a productive two-way feedback loop between quantum materials and quantum computers,” he explains.
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