Introduction: When Quantum Computing Meets Optical Precision In 2023, Google’s Quantum AI team demonstrated a major leap in quantum computing. Their Sycamore processor completed a complex task in just 200 seconds—a calculation that would take classical supercomputers roughly 10,000 years. While most attention focused on the qubits themselves, another key technology made this precision possible: […]
Key Takeaways Optical waveguides guide light using refractive index contrast, essential for quantum photonic circuits. Strip, rib, and slot geometries offer trade-offs in confinement and loss. Key design priorities include minimizing propagation and coupling losses, maintaining phase stability, and enabling dense, scalable integration. Materials like silicon, SiN, LiNbO₃, and AlN support varied quantum functions. Applications […]
Key Takeaways Silicon photonics leverages light to transmit quantum information with low loss, minimal noise, and high scalability. It enables dense, room-temperature quantum interconnects, integrates with classical CMOS logic, and supports photonic quantum computing architectures. Compared to traditional electronics, photonics offers greater bandwidth, lower energy consumption, and better signal fidelity. While challenges like scalable photon […]
