Adversarial learning methods are a promising approach to training robust deep networks,
and can generate complex samples across diverse domains. They can also improve …

Key management plays a fundamental role in the field of cryptography. In this paper, we
propose a novel multiparty quantum key management (QKM) protocol. Departing from single …

Based on the quantum entanglement channel, two secure quantum deterministic key
distribution (QDKD) protocols are proposed. Unlike quantum random key distribution …

The phase matching between the propagating fundamental and nonlinearly generated
waves plays an important role in the efficiency of the nonlinear frequency conversion in …

A quantum key distribution protocol is proposed base on the discrete quantum Fourier
transform. In our protocol, we perform Fourier transform on each particle of the sequence to …

The objective of this dissertation is to study the light-matter interaction phenamena at
nanoscale in the presence of plasmonic nanostructures and metamaterials. Using the …