Computer Sciencenpj Quantum Information
Experimental quantum end-to-end learning on a superconducting processor
X. Pan, X. Cao, et al.
This groundbreaking research by Xiaoxuan Pan, Xi Cao, and colleagues presents the experimental implementation of quantum end-to-end machine learning on a superconducting processor, achieving impressive accuracy rates for recognition of handwritten digits. Discover the transformative potential of this approach for future complex tasks in the realm of quantum computing.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Physics
Deep quantum neural networks on a superconducting processor
X. Pan, Z. Lu, et al.
Physics
Observation of Bloch oscillations and Wannier-Stark localization on a superconducting quantum processor
X. Guo, Z. Ge, et al.
Physics
Machine learning of high dimensional data on a noisy quantum processor
E. Peters, J. Caldeira, et al.
Physics
Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer
J. Dborin, V. Wimalaweera, et al.
