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Quantum randomness introduced through squeezing operations and random number generation.

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    This study introduces a novel quantum random number generator (QRNG) that leverages squeezed light for enhanced randomness. The generator utilizes a source-independent protocol, boosting the security of true random number generation.

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    Area of Science:

    • Quantum Physics
    • Information Security

    Background:

    • Pseudo-random numbers generated by algorithms are predictable and unsuitable for high-security applications.
    • Quantum mechanics offers a path to theoretically true random number generation by exploiting quantum phenomena.
    • Existing quantum random number generators (QRNGs) often rely on vacuum noise, which can be a security concern.

    Purpose of the Study:

    • To propose and demonstrate a novel quantum random number generator (QRNG).
    • To utilize a prepared broadband squeezed state of light for generating random numbers.
    • To analyze the relationship between entropy rate and squeezing level.
    • To enhance the security of QRNGs using a source-independent protocol.

    Main Methods:

    • Generation of a broadband squeezed state of light.
    • Measurement of quantum noise from the squeezed state.
    • Analysis of entropy rate as a function of squeezing level.
    • Implementation of a source-independent quantum random number protocol.

    Main Results:

    • Demonstration of a QRNG where randomness originates from squeezing-induced quantum noise, not vacuum noise.
    • Characterization of the relationship between entropy rate and squeezing level.
    • Successful enhancement of QRNG security through the source-independent protocol.

    Conclusions:

    • The proposed QRNG offers a robust method for generating theoretically true random numbers.
    • Squeezed light provides a superior source of quantum noise for randomness compared to vacuum noise.
    • The source-independent protocol significantly improves the security and trustworthiness of quantum random number generation.