PhysicsCOMMUNICATIONS PHYSICS
Potential and limitations of quantum extreme learning machines
L. Innocenti, S. Lorenzo, et al.
Discover how Quantum Extreme Learning Machines (QELMs) can transform quantum state estimation by leveraging single effective measurements. This innovative framework, developed by L. Innocenti, S. Lorenzo, I. Palmisano, A. Ferraro, M. Paternostro, and G. M. Palma, paves the way for noise-resilient measurement paradigms.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
TRANSLATING RADIOLOGY REPORTS INTO PLAIN LANGUAGE USING CHATGPT AND GPT-4 WITH PROMPT LEARNING: PROMISING RESULTS, LIMITATIONS, AND POTENTIAL
Q. Lyu, J. Tan, et al.
Computer Science
The Potential and Limitations of Large Language Models for Text Classification through Synthetic Data Generation
A. K. P. Venkata and L. Gudala
Biology
Deep learning of a bacterial and archaeal universal language of life enables transfer learning and illuminates microbial dark matter
A. Hoarfrost, A. Aptekmann, et al.
Education
The examination of the relationship between learning motivation and learning effectiveness: a mediation model of learning engagement
H. Lei, C. Chen, et al.
