Non-Gaussian Quantum Optical Approach for True Random Number Generation Using Cubic-Phase Nonlinearity

True random numbers are essential for secure communication and quantum information technologies. We present a photonic Quantum Random Number Generator (QRNG) that utilises non-Gaussian operations to amplify intrinsic quantum randomness. The scheme uses a two-mode optical circuit initialized in a single-photon state incorporates phase rotation, a cubic phase gate, squeezing and a balanced beam splitter to create strong non-classical correlations. Photon-number measurements generate unbiased binary outcomes through raw bit extraction. The random number samples that pass standard statistical NIST SP800 22, 90B, Dieharder, ENT, AIS-31 test, hamming distance confirms the robustness and reliability of the proposed approach.

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Publication Details

Journal
Journal of Nonlinear Optical Physics & Materials
Published
2026-06-26
DOI
https://doi.org/10.1142/s0218863526400084
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
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article

Non-Gaussian Quantum Optical Approach for True Random Number Generation Using Cubic-Phase Nonlinearity

Padmapriya Praveenkumar, TS Gururaja
Journal of Nonlinear Optical Physics & Materials
Chaos-based Image/Signal Encryption
article

Non-Gaussian Quantum Optical Approach for True Random Number Generation Using Cubic-Phase Nonlinearity

Padmapriya Praveenkumar, TS Gururaja
article en

Abstract

True random numbers are essential for secure communication and quantum information technologies. We present a photonic Quantum Random Number Generator (QRNG) that utilises non-Gaussian operations to amplify intrinsic quantum randomness. The scheme uses a two-mode optical circuit initialized in a single-photon state incorporates phase rotation, a cubic phase gate, squeezing and a balanced beam splitter to create strong non-classical correlations. Photon-number measurements generate unbiased binary outcomes through raw bit extraction. The random number samples that pass standard statistical NIST SP800 22, 90B, Dieharder, ENT, AIS-31 test, hamming distance confirms the robustness and reliability of the proposed approach.

Journal of Nonlinear Optical Physics & Materials
Twitter (United States) (US)
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Chaos-based Image/Signal Encryption
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