Woo-Sung Lee

Constant-Per-Layer-Depth MPS-Pretrained Ansatz for Noisy Distributed Quantum Processors

Distributed quantum processors could scale variational algorithms beyond single devices, but circuit depth, communication overhead, and noise limit their performance. We compare ladder, mixed-canonical, and brick-wall realizations of matrix-product-state (MPS) pretraining with matched per-layer two-qubit-block resource...