Quantum convolutional neural networks

• Published in: Nature physics Vol. 15; no. 12; pp. 1273 - 1278
• Main Authors: Cong, Iris, Choi, Soonwon, Lukin, Mikhail D.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.12.2019; Nature Publishing Group
• Subjects: 639/705/1042; 639/766/119/2795; 639/766/483/481; Algorithms; Artificial intelligence; Artificial neural networks; Atomic; Circuits; Classical and Continuum Physics; Complex Systems; Complexity; Condensed Matter Physics; Error correction; Machine learning; Mathematical and Computational Physics; Molecular; Neural networks; Object recognition; Optical and Plasma Physics; Physics; Physics and Astronomy; Quantum phenomena; Quantum theory; Qubits (quantum computing); Theoretical

Neural network-based machine learning has recently proven successful for many complex applications ranging from image recognition to precision medicine. However, its direct application to problems in quantum physics is challenging due to the exponential complexity of many-body systems. Motivated by...