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cs.LG2026
WSBD: Freezing-Based Optimizer for Quantum Neural Networks
Christopher Kverne, Mayur Akewar, Yuqian Huo +2
The training of Quantum Neural Networks (QNNs) is hindered by the high computational cost of gradient estimation and the barren plateau problem, where optimization landscapes becom…
cs.LG2025
Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
Jason Zev Ludmir, Sophia Rebello, Jacob Ruiz +1
Detecting mission-critical anomalous events and data is a crucial challenge across various industries, including finance, healthcare, and energy. Quantum computing has recently eme…