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Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings
Background Recent studies have showed the ability of Quantum Computers to produce atypical patterns which are hard to produce classically, which gives them a distinct advantage in the domain of machine learning. However, most devices today are considered Noisy Intermediate Scale Quantum (NISQ) devices, which are limited in the circuit breadth and suffer...
Published: 4/22/2025   |   Inventor(s): Vinayak Sharma, Aviral Shrivastava
Keywords(s): Artificial Intelligence, Quantum Computing
Category(s): Artificial Intelligence/Machine Learning, Physical Science, Wireless & Networking