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quant-ph2026
SQGen: Structured Quantum Image Generation with Latent-Modulated Quantized Tensor Trains
Guang Lin, Qibin Zhao
Generating images directly from quantum systems is an attractive but unresolved goal on NISQ hardware. Existing quantum generators face several coupled obstacles: barren plateaus t…
cs.LG2026
Spectral Anatomy of Quantum Gaussian Process Kernels
Jian Xu, Chao Li, Guang Lin +4
Two recent results have reshaped quantum Gaussian processes (QGPs). On the one hand, \citet{lowe2025assessing} rule out the exponential speedups claimed by HHL-based QGP regression…
quant-ph2026
Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding
Guang Lin, Toshihisa Tanaka, Qibin Zhao
Encoding classical data into quantum states is a central bottleneck in quantum machine learning: many widely used encodings are circuit-inefficient, requiring deep circuits and sub…