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AI helps reveal large-scale quantum effects hidden in stacked atomic sheets
Phys.org Quantum Section
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⚡ Quantum Brief
AI assists in uncovering large-scale quantum effects in layered atomic structures.
Quantum materials exhibit unique properties like superconductivity and entanglement, governed by quantum mechanics.
These properties stem from atomic patterns in crystals but can be scaled up through engineering.
They are critical for advancing quantum computing and future energy-efficient electronics.
The discovery highlights AI's role in accelerating quantum material research.
Summarize this article with:
Quantum materials are a class of exotic materials with special properties that are governed by quantum mechanics rather than classical physics. Those properties—like superconductivity, entanglement and unusual forms of magnetism—often originate in the tiny repeating patterns of atoms inside crystals, but through clever engineering, they can be observed and controlled at a more human scale. Quantum materials are helping to power the quickly growing field of quantum computing and could find their way into future generations of energy-efficient electronics.
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quantum-materials
energy-climate
quantum-computing
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Source: Phys.org Quantum Section