Reassessing the computational advantage of quantum-controlled ordering of gates
Martin J. Renner, \v{C}aslav Brukner

TL;DR
This paper reevaluates the computational benefits of quantum-controlled gate ordering, showing that the advantage over causal algorithms is less significant than previously thought, with new algorithms reducing query complexity.
Contribution
It introduces new causal algorithms that solve Fourier promise problems with fewer queries, challenging prior assumptions about quantum advantage in indefinite causal structures.
Findings
Causal algorithms can solve specific FPP with O(n log n) queries.
General FPP can be solved causally with O(n√n) queries.
The advantage of indefinite causal structures is limited for these problems.
Abstract
Research on indefinite causal structures is a rapidly evolving field that has a potential not only to make a radical revision of the classical understanding of space-time but also to achieve enhanced functionalities of quantum information processing. For example, it is known that indefinite causal structures provide exponential advantage in communication complexity when compared to causal protocols. In quantum computation, such structures can decide whether two unitary gates commute or anticommute with a single call to each gate, which is impossible with conventional (causal) quantum algorithms. A generalization of this effect to unitary gates, originally introduced in M. Ara\'ujo et al., Phys. Rev. Lett. 113, 250402 (2014) and often called Fourier promise problem (FPP), can be solved with the quantum--switch and a single call to each gate, while the best known causal algorithm…
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