Experimental sample-efficient and device-independent GHZ state certification

The certification of quantum resources is a critical tool in the development of quantum information processing. In particular, quantum state verification is a fundamental building block for communication and computation applications, determining whether the involved parties can trust the resources at hand or whether the application should be aborted. Self-testing methods have been used to tackle such verification tasks in a device-independent (DI) setting. However, these approaches commonly consider the limit of large (asymptotic), identically and independently distributed (IID) samples, which weakens the DI claim and poses serious challenges to their experimental implementation. Here, we overcome these challenges by adopting a theoretical protocol enabling the certification of quantum states in the few-copies and non-IID regime and by leveraging a high-fidelity multipartite entangled photon source. This allows us to show the efficient and device-independent certification of a single co..., , # Data from: Experimental sample-efficient and device-independent GHZ state certification

Dataset DOI: [10.5061/dryad.z08kprrv4](https://doi.org/10.5061/dryad.z08kprrv4)

## Description of the data and file structure

Experimental Data: Sample Efficient DI Certification

### Overview

This repository contains the experimental data used for the Sample Efficient Device-Independent (DI) Certification project.

The dataset includes both raw time-tag data and processed coincidence counts.

### File Structure & Handling

Due to the large file size, the primary dataset has been split into 5 parts: DATA_CERTIFICATION.zip.001, DATA_CERTIFICATION.zip.002, DATA_CERTIFICATION.zip.003, DATA_CERTIFICATION.zip.004, and DATA_CERTIFICATION.zip.005

You must combine these parts to access the full dataset.

Once extracted, the folder contains two types of data:

1.Raw Time-Tags (`.ttbin`)

These are the raw timestamps recorded by the hardware. To process these files to extract single counts or custom coi..., ,