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quant-ph2026

A machine learning approach to tomographic pattern generation and classification of quantum states of light

Soumyabrata Paul, H. S. Subramania, S. Ramanan +2

Optical tomograms can be envisaged as patterns. The Wasserstein generative adversarial network (WGAN) algorithm provides a platform to train the machine to compare patterns corresp…

quant-ph2025

Tomographic markers and photon addition to coherent states of light: Comparison with experiment

Soumyabrata Paul, S. Lakshmibala, V. Balakrishnan +1

Photon addition to quantized light is of immense interest, both experimentally and theoretically. We identify a set of markers that play an important role in the context of photon…

quant-ph2025

Comparing probability distributions: application to quantum states of light

Soumyabrata Paul, V. Balakrishnan, S. Ramanan +1

Probability distributions play a central role in quantum mechanics, and even more so in quantum optics with its rich diversity of theoretically conceivable and experimentally acces…

quant-ph2025

Optimal sensing of photon addition and subtraction on nonclassical light

Soumyabrata Paul, Arman, S. Lakshmibala +3

We demonstrate that the Wasserstein distance corresponding to optical tomograms of nonclassical states faithfully captures changes that arise due to photon addition to, or…

quant-ph2024

Tomographic entanglement indicators in a coupled oscillator model

Sreelekshmi Pillai, S. Ramanan, V. Balakrishnan +1

We study entanglement in a simple model comprising two coupled linear harmonic oscillators of the same natural frequency. The system is separable in the center of mass (COM) and re…