Quantum computing represents a transformative leap in technology with the potential to address complex challenges across sectors such as health care, energy, and finance. For Africa, embracing quantum technologies offers unique opportunities to drive innovation, enhance research capacity, and contribute to global advancements. This talk explores the steps needed to build a quantum-ready...
Searching algorithms play a crucial role in quantum computing, enabling the efficient identification of specific elements within large datasets. Grover’s algorithm, a key example, significantly speeds up searches for unstructured data compared to classical methods. Recent advancements have shown the potential of using optical fields as a computational resource to implement Grover’s algorithm,...
Quantum computing offers capabilities for simulating complex physical systems. In photonics, it plays a crucial role in modelling the behaviour of both bright laser beams and single-photons that are propagated through the atmosphere, turbid, and other complex media. This can be crucial for applications in fields such as biological imaging, LiDAR, laser light communication and surveillance...
Quantum computers have the potential to be faster at solving certain problems, such as optimization problems, than their conventional equivalents [1]. These speedups are made possible by the fact that quantum computers are based on quantum bits (qubits), which may use superposition or entanglement, two peculiar properties of quantum physics. In this work, we explore the quantum gradient...
Training phase masks for diffractive networks
Diffractive optical networks have been shown to be useful in a wide variety of application in the realms of optical computing and information processing, such as modal sorting and multiplexing. These systems utilise repeated phase modulations to transform a set of input states contained within a particular basis into a set of target states...
