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Researchers have developed a simplified method for achieving quantum entanglement among subatomic particles using an artificial intelligence (AI) tool called PyTheus. Published in the journal Physical Review Letters, the study highlights how AI can illuminate complex physics tasks, significantly reducing the challenges traditionally associated with forming entangled states.
Quantum entanglement, a phenomenon where particles share quantum states regardless of distance, is critical for cutting-edge technologies, including quantum computing and secure communications. Historically, achieving entanglement has required complex procedures, often collapsing quantum states during measurement. However, the new approach indicates that when photon paths are made indistinguishable from one another, entanglement can spontaneously arise without direct interaction.
Sofia Vallecorsa, a research physicist at CERN, who was not involved in this study, noted the potential impact of this discovery on quantum networks, stating, "The more we can rely on simple technology, the more we can increase the range of applications." The implications of this research could bolster secure messaging technologies, although challenges regarding environmental noise and device stability remain.