Research, Innovation and Learning
Both Artificial Intelligence (AI) and Quantum Computing (QC) heavily rely on Linear Algebra as their primary calculation tool. Linear algebra finds numerous applications across scientific, engineering, and computing disciplines. The following diagram illustrates the relationships between various topics of Linear Algebra for AI and Quantum Computing. This article discusses the first four topics (Vectors, Matrices, […]
Read this article to learn how differentiable programming bridges the gap between classical and quantum machines for the sake of machine learning. The method relies on the fact that the gradient of a quantum circuit can be calculated with regard to the operational parameters. A quantum circuit can function as a node (a QNode) in […]
With the aim of creating a powerful computational apparatus that can surpass any classical computer, the concept of quantum computing was initially introduced in the 1980s. Over the past forty years, quantum computing has emerged as one of the most revolutionary technologies, possessing the capability to introduce entirely new approaches to conceptualizing and resolving computer-related […]