Published: 04 January 2024
GenAI and quantum computing can address similar use cases, but operate on significantly different types of data. To avoid misaligned investments, product leaders must evaluate the technical maturity of each to determine the best fit to their use-case and product development roadmaps.
Generative AI (GenAI) can address a wide range of problems, a small subset of which can also be addressed by quantum computing (QC).However, GenAI is constrained by the scope of its training dataset and the processing capabilities of classical compute systems.
Quantum computing has a unique ability to solve certain problems that GenAI, which is based on classical systems, cannot, but there are limitations in the spectrum of tasks QC can handle and challenges in constructing QC systems to scale.
Prioritize GenAI over quantum computing for problem sets where datasets for training are available by optimizing domain-specific large language
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Analysts:
Alan Priestley, Gaurav Gupta
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