Building a human-like observer using deep learning in an extended Wigner's friend experiment
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arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866917887461031936 |
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| author | Zeng, Jinjun Zhang, Xiao |
| author_facet | Zeng, Jinjun Zhang, Xiao |
| contents | There has been a longstanding demand for artificial intelligence with human-level cognitive sophistication to address loopholes in Bell-type experiments. In this study, we propose a novel experimental framework that integrates advanced deep learning techniques, employing neural network-based artificial intelligence in an extended Wigner's friend experiment. We demonstrate the framework through simulations and introduce three new analytical metrics-morphing polygons, averaged Shannon entropy, and probability density maps-to evaluate the results. These results can be used to determine whether our artificial intelligence qualifies as a bona fide observer and whether superposition applies to macroscopic systems, including observers. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_04690 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Building a human-like observer using deep learning in an extended Wigner's friend experiment Zeng, Jinjun Zhang, Xiao General Physics There has been a longstanding demand for artificial intelligence with human-level cognitive sophistication to address loopholes in Bell-type experiments. In this study, we propose a novel experimental framework that integrates advanced deep learning techniques, employing neural network-based artificial intelligence in an extended Wigner's friend experiment. We demonstrate the framework through simulations and introduce three new analytical metrics-morphing polygons, averaged Shannon entropy, and probability density maps-to evaluate the results. These results can be used to determine whether our artificial intelligence qualifies as a bona fide observer and whether superposition applies to macroscopic systems, including observers. |
| title | Building a human-like observer using deep learning in an extended Wigner's friend experiment |
| topic | General Physics |
| url | https://arxiv.org/abs/2409.04690 |