On-demand entanglement of molecules in a reconfigurable optical tweezer array

Entanglement is crucial to many quantum applications including quantum information processing, quantum simulation, and quantum-enhanced sens- ing. Because of their rich internal structure and interactions, molecules have been proposed as a promising platform for quantum science. Determinis- tic entanglement of individually controlled molecules has nevertheless been a long-standing experimental challenge. Here we demonstrate on-demand en- tanglement of individually prepared molecules. We deterministically create Bell pairs of molecules by using the electric dipolar interaction between polar molecules prepared using a reconfigurable array of optical tweezer traps. Our results demonstrate the key building blocks needed for quantum applications and may advance quantum-enhanced fundamental physics tests using trapped molecules.

, The dataset comprises 1) quantities extracted experimentally from binarized molecular fluorescence images 2) numerical simulation results. The binarization procedure and the relevant numerical simulation procedures are described in the methods and supplementary material. Full binarized datasets are available upon request. These binarized datasets do not contain additional information than the provided data files., All data is provided as csv files. No proprietary software is required. , # Title of Dataset: Data for On-Demand Entanglement of Molecules in a Reconfigurable Optical Tweezer Array

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Included are data shown in Figures 1-4 of the main text and Figures S1-S4 of the Supplementary Materials.
The experimental data are obtained from binarized molecular fluorescence images. In short, each tweezer in an image is binarized into occupied or empty according to whether the camera counts exceed a predetermined threshold. Various quantities are obtained from averaging the resulting binarized data. Detailed descriptions for these quantities are provided in the main text and the supplementary material.

## Description of the data and file structure

The data is organized as follows.
Fig 1C:
The following files provide digitized camera counts in csv format for the experimental images provided in Fig. 1C, from top to bottom:
Fig1C_img1.csv
Fig1C_img2.csv
Fig1C_img5.csv

Fig 2A:
Fig2A_BlueCircles.csv provide the x and y coordinates, along with error bars, for data shown by ...