The success of machine learning (ML) techniques in the formerly difficult areas of data
analysis and pattern extraction has led to their widespread incorporation into various …

Phishing attacks are a growing concern for individuals and organizations alike, with the
potential to cause significant financial and reputational damage. Traditional methods for …

In quantum key distribution‐secured optical networks (QKD‐ONs), constrained network
resources limit the success probability of QKD lightpath requests (QLRs). Thus, the selection …

The technological fields of AI and quantum technology have evolved in parallel, and have
demonstrated considerable potential to complement each other. Amalgamation of them …

In a practical continuous-variable quantum-key-distribution (CVQKD) system, it is vital to
accurately evaluate and then compensate for the phase drifts of the signals, so that the …

Continuous-variable quantum key distribution (CV-QKD) shows potential for the rapid
development of an information-theoretic secure global communication network; however …

Heterodyne-based continuous-variable source-independent quantum random number
generator (CV-SI-QRNG) can produce true random numbers without any assumptions on …

Methods of computational intelligence show a high potential for short-term price forecasting
of the energy market as they offer the possibility to cope with the complexity, multi-parameter …

Artificial intelligence (AI) and classical machine learning (ML) techniques have
revolutionised numerous fields, including quantum communication. Quantum …

Satellite-based quantum communication is critical in establishing a global quantum network
for its ability to achieve thousand-kilometer-level tasks without the requirement of quantum …