Indefinite causal order strategy does not improve the estimation of group action
School of Data Science, The Chinese University of Hong Kong, Shenzhen, Longgang District, Shenzhen, 518172, China
International Quantum Academy, Futian District, Shenzhen 518048, China
Graduate School of Mathematics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8602, Japan
| Published: | 2025-10-22, volume 9, page 1891 |
| Editor: | Philip Taranto |
| Eprint: | arXiv:2501.09312v2 |
| Doi: | https://doi.org/10.22331/q-2025-10-22-1891 |
| Citation: | Quantum 9, 1891 (2025). |
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Abstract
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.
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