Cooking up a storm: key ingredients for taking quantum computing applications from lab to industry

Quantum computing hardware and software have rapidly advanced over the last years. While hundreds of proof-of-concept studies have meanwhile been conducted across industries, the technology is not yet mainstream. At the same time, the most “promising” quantum algorithm category appears to frequently shift based on new research and the zeitgeist, alternating between quantum chemistry/simulation, machine learning, and optimization. This leaves many practitioners wondering when quantum computing applications can be expected and how organizations should prepare.



In this talk, learnings from the research and commercialization of quantum computing are shared, including proof-of-concept papers and applications in different sectors such as manufacturing and medicine. Use case examples help illustrate the symbiosis that has been emerging between artificial intelligence (AI) and quantum computing, which includes the drive towards more compact and efficient AI models. Important holistic considerations, such as the roles played by ethics as well as technology clusters/ecosystems, are discussed. An outlook is provided, highlighting open points that still need to be addressed regarding the adoption of quantum computing.