Probabilistic Channel Distillation via Indefinite Causal Order
Spiros Kechrimparis, James Moran, Hyukjoon Kwon

TL;DR
This paper explores higher-order indefinite causal order in quantum processes, demonstrating their advantage in probabilistic quantum channel distillation over traditional quantum switches, especially for noisy channels.
Contribution
It introduces higher-order quantum switches, showing they outperform conventional switches in distilling qubit Pauli channels and characterizes their asymptotic rates.
Findings
Higher-order switches enable probabilistic distillation of any qubit Pauli channel.
Distillation rate increases with channel noise, contrary to intuition.
No-go theorem for multi-qubit generalizations.
Abstract
The quantum switch has been widely studied as a prototypical example of indefinite causal order in quantum information processing. However, the potential advantages of utilising more general forms of indefinite causal orders remain largely unexplored. We study higher-order switches, which involve concatenated applications of the quantum switch, and we demonstrate that they provide a strict advantage over the conventional quantum switch in the task of quantum channel distillation. Specifically, we show that higher-order quantum switches enable the probabilistic distillation of any qubit Pauli channel into the identity channel with nonzero probability. This capability contrasts with the conventional quantum switch, which allows only a limited set of Pauli channels to be distilled with nonzero probability. We observe that, counterintuitively, the distillation rate generally increases the…
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Taxonomy
TopicsMachine Learning and Algorithms
