Deciding Quantum vs. AI
Quantum computing has the potential to offer significant performance enhancements for running AI models compared to traditional computing infrastructure. The unique features of quantum computing, such as quantum parallelism and entanglement, enable it to perform specific computational tasks much faster than classical computers. Performing specific computational tasks can result in significant speed-ups for functions such as optimization and machine learning, which are essential components of AI.
However, it's worth noting that quantum computing is still in the early stages of development. There are many challenges to overcome before it can be widely used for AI applications. Currently, quantum computers have limited qubit count and suffer from noise, decoherence, and other limitations that make them difficult to use for practical applications.
As for the citations, many research papers and articles have explored the potential of quantum computing for AI. Some relevant resources include:
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