Estudiante de Ingeniería en Desarrollo de Software en busca de un mapa: ¿Computación Cuántica o IA? (Y por dónde empezar)

A software engineering student mid-degree faces a career crossroads between quantum computing and AI, leaning toward quantum due to longstanding passion but seeking structured guidance to transition from hobbyist exploration to professional focus. The student has experimented with IBM Quantum’s platform and consumed introductory content but lacks a clear roadmap, questioning whether their current software development skills provide sufficient foundation for quantum specialization. Key pain points include uncertainty about fundamental textbooks, step-by-step learning paths, and practical application bridges between classical programming and quantum algorithms, hindering progress beyond theoretical curiosity. The post highlights a broader industry gap: accessible, structured resources for aspiring quantum developers, particularly those transitioning from traditional software backgrounds without formal physics or advanced math prerequisites. Community responses could shape emerging talent pipelines by addressing skill gaps, recommending curated resources, and clarifying whether quantum’s niche demand or AI’s broader opportunities better align with long-term career viability.