Efficient distributed inner product estimation via Pauli sampling

Fuente: arXiv
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Autores principales: Hinsche, Marcel, Ioannou, Marios, Jerbi, Sofiene, Leone, Lorenzo, Eisert, Jens, Carrasco, Jose
Formato: Preprint
Publicado: 2024
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author Hinsche, Marcel
Ioannou, Marios
Jerbi, Sofiene
Leone, Lorenzo
Eisert, Jens
Carrasco, Jose
author_facet Hinsche, Marcel
Ioannou, Marios
Jerbi, Sofiene
Leone, Lorenzo
Eisert, Jens
Carrasco, Jose
contents Cross-platform verification is the task of comparing the output states produced by different physical platforms using solely local quantum operations and classical communication. While protocols have previously been suggested for this task, their exponential sample complexity renders them unpractical even for intermediate-scale quantum systems. In this work, we propose a novel protocol for this task based on Pauli sampling, a subroutine which generates Paulis distributed according to their weight in the expansion of a quantum state in the Pauli basis. We show that our protocols for both Pauli sampling and cross-platform verification are efficient for pure states with low magic and entanglement (i.e., of the order $O(\log n)$). Conversely, we show super-polynomial lower bounds on the complexity of both tasks for states with $ω(\log n)$ magic and entanglement. Interestingly, when considering states with real amplitudes the requirements of our protocol for cross-platform verification can be significantly weakened.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06544
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Efficient distributed inner product estimation via Pauli sampling
Hinsche, Marcel
Ioannou, Marios
Jerbi, Sofiene
Leone, Lorenzo
Eisert, Jens
Carrasco, Jose
Quantum Physics
Cross-platform verification is the task of comparing the output states produced by different physical platforms using solely local quantum operations and classical communication. While protocols have previously been suggested for this task, their exponential sample complexity renders them unpractical even for intermediate-scale quantum systems. In this work, we propose a novel protocol for this task based on Pauli sampling, a subroutine which generates Paulis distributed according to their weight in the expansion of a quantum state in the Pauli basis. We show that our protocols for both Pauli sampling and cross-platform verification are efficient for pure states with low magic and entanglement (i.e., of the order $O(\log n)$). Conversely, we show super-polynomial lower bounds on the complexity of both tasks for states with $ω(\log n)$ magic and entanglement. Interestingly, when considering states with real amplitudes the requirements of our protocol for cross-platform verification can be significantly weakened.
title Efficient distributed inner product estimation via Pauli sampling
topic Quantum Physics
url https://arxiv.org/abs/2405.06544