Navigating into Quantum Computing for Software Engineers

In this video, I give a software-engineer-friendly introduction to the broader landscape of quantum computing and explain how to navigate toward the parts that are most relevant for coders, developers, and computer scientists, especially quantum algorithms and real-world applications. We’ll look at: what quantum computing actually is at a high level, why it is not just a faster classical computer, the main hardware paradigms and the broader map of the field, where physics dominates, where computer science starts to overlap, and why quantum algorithms and applications are especially interesting from an engineering perspective. This channel will focus on practical quantum computing, with an emphasis on algorithms, optimization, QUBO/Ising formulations, quantum annealing, variational approaches, and implementation-oriented discussions. I’m Supreeth Mysore Venkatesh, a researcher working on quantum algorithms and applications, with a background in software development and machine learning. My work focuses on developing practical quantum methods for real-world use cases, and through this channel I want to make the field more approachable for technical people coming from code, systems, and algorithms. You can find more of my work here: 🌐 Website: https://www.supreethmv.com/ 💼 LinkedIn: https://www.linkedin.com/in/supreethmv 📚 Google Scholar: https://scholar.google.com/citations?user=O9hC9noAAAAJ&hl=en 📄 ResearchGate: https://www.researchgate.net/profile/Supreeth-Mysore-Venkatesh 💻 GitHub: https://github.com/supreethmv If this video helped you, consider subscribing to follow along as we explore quantum computing from a practical, implementation-focused perspective. #QuantumComputing #SoftwareEngineering #QuantumAlgorithms #QUBO #Optimization #QuantumAnnealing #QAOA #PracticalQuantum