Quantum Information Processing
Quantum information processing (QIP) aims to leverage quantum mechanics for computation and information processing, exceeding the capabilities of classical computers. Current research heavily focuses on quantum machine learning algorithms, including quantum neural networks and kernel methods, and on developing efficient quantum algorithms for tasks like quantum state tomography and process characterization, often employing parameterized quantum circuits. These advancements hold significant promise for accelerating scientific discovery, particularly in fields like materials science and drug discovery, and for enhancing various applications through improved data analysis and processing capabilities.
Papers
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