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cs.LG2023
Generative Learning of Continuous Data by Tensor Networks
Alex Meiburg, Jing Chen, Jacob Miller +3
Beyond their origin in modeling many-body quantum systems, tensor networks have emerged as a promising class of models for solving machine learning problems, notably in unsupervise…
cs.LG2022★ 6 cited
Generalization Metrics for Practical Quantum Advantage in Generative Models
Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz
As the quantum computing community gravitates towards understanding the practical benefits of quantum computers, having a clear definition and evaluation scheme for assessing pract…