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Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Source-independent quantum random number generator against tailored detector blinding attacks.

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    This study introduces a quantum random number generation protocol to enhance cryptographic security. It addresses vulnerabilities against hacking attacks and source manipulation, ensuring more robust random number generation.

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    Area of Science:

    • Quantum Information Science
    • Cryptography
    • Cybersecurity

    Background:

    • Random numbers are crucial for cryptographic security.
    • Quantum randomness offers enhanced security but is vulnerable to detector blinding attacks.
    • Existing protocols struggle against sophisticated adversarial manipulations.

    Purpose of the Study:

    • To propose a quantum random number generation (QRNG) protocol resilient to source vulnerabilities and detector blinding attacks.
    • To enhance the security and reliability of quantum random number generation.
    • To enable high-dimensional random number generation.

    Main Methods:

    • Developed a novel QRNG protocol by incorporating 'no-click' events as valid data.
    • Designed the protocol to counteract tailored detector blinding attacks.
    • Explored the extension of the method to high-dimensional randomness.

    Main Results:

    • The proposed protocol effectively addresses both source vulnerability and detector blinding attacks.
    • Experimental demonstration achieved two-dimensional measurement-based random number generation.
    • A random number generation speed of 0.1 bits per pulse was recorded.

    Conclusions:

    • The novel QRNG protocol provides a robust solution against sophisticated adversarial attacks.
    • The method is adaptable for generating high-dimensional quantum randomness.
    • This advancement significantly improves the security foundation for cryptographic applications.