Indefinite causal order strategy does not improve the estimation of group action
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918164855521280 |
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| author | Hayashi, Masahito |
| author_facet | Hayashi, Masahito |
| contents | We consider estimation of unknown unitary operation when the set of possible unitary operations is given by a projective unitary representation of a compact group. We show that neither indefinite causal order strategy nor adaptive strategy improves the performance of this estimation when error function satisfies group covariance. That is, the optimal parallel strategy gives the optimal performance even under indefinite causal order strategy and adaptive strategy. To study this problem, we newly introduce the concept of generalized positive operator valued measure (GPOVM), and its convariance condition. Using these concepts, we show the above statement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_09312 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Indefinite causal order strategy does not improve the estimation of group action Hayashi, Masahito Quantum Physics We consider estimation of unknown unitary operation when the set of possible unitary operations is given by a projective unitary representation of a compact group. We show that neither indefinite causal order strategy nor adaptive strategy improves the performance of this estimation when error function satisfies group covariance. That is, the optimal parallel strategy gives the optimal performance even under indefinite causal order strategy and adaptive strategy. To study this problem, we newly introduce the concept of generalized positive operator valued measure (GPOVM), and its convariance condition. Using these concepts, we show the above statement. |
| title | Indefinite causal order strategy does not improve the estimation of group action |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2501.09312 |