Bridging Quantum Mechanics and Computing: A Primer for Software Engineers
Arvind W Kiwelekar
TL;DR
Bridging Quantum Mechanics and Computing provides software engineers with a concise primer on essential quantum mechanics concepts from a computing perspective. It introduces the qubit formalism, e.g., $|\psi\rangle = \alpha|0\rangle + \beta|1\rangle$ with $|\alpha|^2+|\beta|^2=1$, and connects wave-particle duality, superposition, entanglement, measurement, and quantum operators to quantum computing primitives. It contrasts classical and quantum processing, discusses representational frameworks such as Hilbert space and density matrices, and presents a UML-based conceptual model to organize the concepts. By outlining a concrete, workflow-oriented view of QC and QIS for software engineers, the paper aims to accelerate understanding and adoption of quantum technologies.
Abstract
Quantum mechanics, the fundamental theory that governs the behaviour of matter and energy at microscopic scales, forms the foundation of quantum computing and quantum information science. As quantum technologies progress, software engineers must develop a conceptual understanding of quantum mechanics to grasp its implications for computing. This article focuses on fundamental quantum mechanics principles for software engineers, including wave-particle duality, superposition, entanglement, quantum states, and quantum measurement. Unlike traditional physics-oriented discussions, this article focuses on computational perspectives, assisting software professionals in bridging the gap between classical computing and emerging quantum paradigms.