Thesis Statement I: Most of the SEU’s go undetected in electronic computing. Thesis Statement II: By leveraging the parallelism and efficiency of photonic systems, neuromorphic photonic computing has the potential to advance cognitive computing, robotics, and brain-inspired computing. - Photonic Quantum Computing in Quantum Simulation: Quantum photonic computers can be used to model the behavior of light in complex optical systems through a technique called quantum simulation. Quantum simulation is a method of using quantum computers to simulate the behaviour of complex quantum systems, such as the behaviour of light in a complex optical system. In order to simulate the behavior of light in an optical system using a quantum photonic computer, the system must first be mapped onto a quantum circuit. This involves encoding the parameters of the optical system, such as the refractive index of different materials and the geometry of the system, into the quantum states of the photonic qubits. Once the system has been mapped onto a quantum circuit, the circuit can be executed on the quantum photonic computer to simulate the behavior of light in the system. The quantum states of the qubits can be directly related to the properties of photons. This allows scientists to simulate the behaviour of light in complex optical systems with high accuracy and fidelity. - Photonic Processors - Color - coding Technique - Future & Usability: Photonic computing can be seamlessly integrated with existing fiber optic networks and infrastructure, which are widely deployed for high- speed data transmission. This compatibility enables the incorporation of photonic computing technology into existing systems without requiring major infrastructure changes. Also, it can leverage quantum properties, such as superposition and entanglement, for quantum computing applications.
Published by: International Journal Of Engineering, Management and Humanities (IJEMH)
Mar 13, 2024