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Experimental Genuine Quantum Nonlocality in the Triangle Network
Ning-Ning Wang1,2,3,4, Chao Zhang1,2,3,4, Huan Cao5
1University of Science and Technology of China, Laboratory of Quantum Information, Hefei 230026, China.
Physical Review Letters
|May 22, 2026
Summary
Researchers experimentally demonstrated novel quantum correlations in a triangle network, providing evidence of nonlocality. Machine learning tools were used to confirm these quantum correlations are beyond classical limits.
Area of Science:
- Quantum Information Science
- Quantum Networks
- Experimental Quantum Physics
Background:
- Quantum networks enable novel nonclassical correlations through distributed entanglement.
- Entangled measurements in multi-party networks reveal complex quantum correlations.
Purpose of the Study:
- To experimentally realize quantum correlations in a triangle network.
- To provide evidence for the nonlocality of these correlations.
- To quantify the nonclassicality using machine learning.
Main Methods:
- Performed a six-photon experiment to generate the Elegant distribution.
- Utilized machine learning algorithms to analyze experimental data.
- Estimated the distance from experimental correlations to the local set.
Main Results:
- Successfully obtained quantum correlations in a triangle network.
- Provided experimental evidence supporting the nonlocality of the generated correlations.
- Demonstrated the utility of machine learning in verifying quantum correlations.
Conclusions:
- The experiment confirms the existence of nonclassical correlations in a triangle quantum network.
- The findings highlight the potential of quantum networks for exploring fundamental quantum mechanics.
- Machine learning offers a powerful tool for characterizing quantum correlations and nonlocality.
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