Unlocking the Quantum Enigma: Deep Learning to Quantify Entanglement from Incomplete Measurements
Quantum technologies including quantum computing and quantum communication rely on a very intriguing natural phenomenon – entanglement. Using modern methods of machine learning enables quantification of this important and fragile feature of the quantum world.
In a collaboration spanning across Olomouc, Stockholm, Würzburg, Oldenburg, and Princeton, a team of physicists has achieved a groundbreaking result in the field of quantum science and technology. Their latest research work, titled "Deep learning of quantum entanglement from incomplete measurements," has just been published in the prestigious journal Science Advances, revolutionizing the characterization of quantum entanglement.
Quantum entanglement, linking particles regardless of distance, defies intuition. It enables secure communication, exponential computing power, precise sensing, and simulation, pushing scientific boundaries and shaping the future of technology. However, until now, determining how much of entanglement is exactly present in each system required either prior knowledge or laborious experimental procedures.
Neural networks enable efficient and accessible quantification of entanglement
The international team of physicists has unveiled a groundbreaking method that leverages the power of neural networks to quantify entanglement. "The implications of our research are vast," says Professor Ana Predojević, head of Quantum Photonics group at Fysikum. "Our approach enables scientists to study entanglement in a more efficient and accessible manner, which has tremendous implications for the advancement of quantum technologies. From quantum communication and cryptography to quantum computing and beyond, this breakthrough paves the way for transformative advancements across multiple fields."
As we delve deeper into the quantum revolution, this remarkable breakthrough marks a significant milestone on the path to unlocking the full potential of quantum entanglement. The international team's pioneering research demonstrates the power of interdisciplinary collaboration and the fusion of artificial intelligence with quantum physics.
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Professor Ana Predojević
Quantum Photonics Research Group at Fysikum
Condensed Matter and Quantum Optics
Science Advances
Last updated: July 20, 2023
Source: The Communications Office