Usamah Sedqi Al-Baik أسامة صدقي البيك

Can AI solve humanity’s hardest mathematical problems without quantum computers — and what happens to science if it can? In my previous reflections on quantum computing and artificial intelligence , I argued against a simple “AI versus quantum” narrative. I still believe that. Artificial intelligence and quantum computing are fundamentally different technologies with different strengths. AI is already extraordinarily capable at pattern recognition, language, reasoning, search, prediction and increasingly scientific discovery. Quantum computing offers something different: the ability to manipulate quantum states in ways that could eventually make certain simulations and mathematical operations tractable when they are prohibitively difficult for classical machines. My expectation was therefore a heterogeneous future: CPU + GPU + AI + QPU , with each type of processor handling the part of a problem for which it is best suited. IBM is already explicitly pur...

Why the most important relationship between artificial intelligence and quantum computing may be cooperation, not competition In my previous article on quantum computing , I argued that the biggest opportunity today is not necessarily to build quantum machines, but to build readiness : understand the technology, identify meaningful use cases, develop talent, prepare security, and learn where quantum may eventually create a genuine business advantage. Looking more closely at the intersection of artificial intelligence and quantum computing makes that conclusion even stronger — but also more nuanced. There is a tempting narrative that quantum computing will eventually supersede AI infrastructure, or that adding quantum processors to machine learning will suddenly produce exponentially more powerful artificial intelligence. I don’t believe either description captures where the technology is heading. The emerging picture is more interesting. AI and quantu...