Detecting high-dimensional entanglement by randomized product projections
Jin-Min Liang, Shuheng Liu, Shao-Ming Fei, and Qiongyi He

TL;DR
This paper presents a practical, resource-efficient method for detecting high-dimensional entanglement in quantum systems using randomized product projections, reducing experimental complexity and enabling reliable certification.
Contribution
It introduces a novel detection strategy based on randomized projections that simplifies entanglement certification and provides algorithms for estimating the Schmidt number with limited data.
Findings
Efficient entanglement detection using randomized product projections.
Single basis state measurement suffices for entanglement certification.
Algorithm for lower bounding Schmidt number with high confidence.
Abstract
The characterization of high-dimensional entanglement plays a crucial role in the field of quantum information science. Conventional entanglement criteria measuring coherent superpositions of multiple basis states face experimental bottlenecks on most physical platforms due to limited multi-channel control. Here, we introduce a practically efficient detection strategy based on randomized product projections. We show that the first-order moments of such projections can be used to estimate entanglement fidelity, thereby enabling practical and efficient certification of the Schmidt number in high-dimensional bipartite systems. By constructing optimal observables, it is sufficient to merely measure a single basis state, substantially reducing experimental overhead. Moreover, we present an algorithm to obtain a lower bound of the Schmidt number with a high confidence level from a limited…
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