3 papers
quant-ph2026
Gradient Analysis of Barren Plateau in Parameterized Quantum Circuits with multi-qubit gates
Yuhan Yao, Yoshihiko Hasegawa
The emergence of the Barren Plateau phenomenon poses a significant challenge to quantum machine learning. While most Barren Plateau analyses focus on single-qubit rotation gates, t…
cs.LG2025
Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models
Zhidong Gao, Zimeng Pan, Yuhang Yao +2
Diffusion models like Stable Diffusion (SD) drive a vibrant open-source ecosystem including fully fine-tuned checkpoints and parameter-efficient adapters such as LoRA, LyCORIS, and…
quant-ph2025
Direct Gradient Computation for Barren Plateaus in Parameterized Quantum Circuits
Yuhan Yao, Yoshihiko Hasegawa
The barren plateau phenomenon, where the gradients of parametrized quantum circuits become vanishingly small, poses a significant challenge in quantum machine learning. While previ…