The Centre for Disruptive Photonic Technologies (CDPT) aspires to be a world-leading player in developing the next stage of the photonic revolution by mobilising the resources and interdisciplinary expertise available at NTU and with our collaboration partners in Singapore, Europe, USA, Australia and Far East, to create a world-leading research activity on disruptive photonic technologies.

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Tabular Data - 8.5 KB - 2 Variables, 301 Observations - UNF:6:IVpdFTxGmy/oPb8lpqE4WA==
Absorbance spectra for Figure 1c.
Tabular Data - 13.3 KB - 2 Variables, 401 Observations - UNF:6:delzDAwLrBEywM6adm6+xw==
EL spectra for Figure 1c.
Tabular Data - 8.3 KB - 2 Variables, 301 Observations - UNF:6:91yeGLFAmznb6YRiTm+gCQ==
Data for PL spectra in Figure 1c
Comma Separated Values - 49.8 KB - MD5: 13b0778d2855dab0e21eb5d836680ca7
Transfer curve for Figure 1d
Tabular Data - 69.7 KB - 8 Variables, 1601 Observations - UNF:6:JzVyOQ2mvusRc2OFm2Mo7Q==
EL spectra with different gate voltage for Figure 1e.
Jan 13, 2023 - Anton VETLUGIN
Vetlugin, Anton, 2023, "Replication Data for: Photon number resolution without optical mode multiplication", https://doi.org/10.21979/N9/RK66KK, DR-NTU (Data), V1, UNF:6:W50gd3nm33co0flzLjhe4A== [fileUNF]
Data for the paper "Photon number resolution without optical mode multiplication"
Jupyter Notebook - 594.3 KB - MD5: 4d4b46741c6f2ab64ab3f8ce554a51f6
Data for figures 2B, 2C, and 2D in the .ipynb file extension.
Python Source Code - 29.9 KB - MD5: 56cdd15673dc62238eaaf06db5be6c25
Data for figures 2B, 2C, and 2D in the .py file extension.
Jupyter Notebook - 444.0 KB - MD5: 44f0c0b3d1b80e2c5595df171623b440
Data for figures 3B, 3C, and 3D in the .ipynb file extension.
Python Source Code - 35.0 KB - MD5: 0a95403dc49e1d743b7eab8c924fc67b
Data for figures 3B, 3C, and 3D in the .py file extension.
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