Author

Yong-Su Kim

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Preprint Oct 2026

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...

Seongpyo Hong, Woo-Sung Lee, Yong-Su Kim et al. · 0 citations

Open access Aug 2026

Distributed variational quantum computing with deterministic entanglement tuning

This work proposes a distributed variational quantum computing protocol based on deterministic entanglement tuning that deterministically modulates pre-shared entanglement using only local operations and classical communication and suggests a practical alternative for near-term distributed quantum applications.

Ilhwan Kim, Yong-Su Kim, Kwang Jo Lee et al. · Physical Review Applied · 0 citations