3 papers
cs.DC2025
FastMPS: Revisit Data Parallel in Large-scale Matrix Product State Sampling
Yaojian Chen, Si-Qiu Gong, Lin Gan +5
Matrix Product State (MPS) is a versatile tensor network representation widely applied in quantum physics, quantum chemistry, and machine learning, etc. MPS sampling serves as a cr…
quant-ph2025
Robust quantum computational advantage with programmable 3050-photon Gaussian boson sampling
Hua-Liang Liu, Hao Su, Si-Qiu Gong +34
The creation of large-scale, high-fidelity quantum computers is not only a fundamental scientific endeavour in itself, but also provides increasingly robust proofs of quantum compu…
cs.DC2025
SW-TNC : Reaching the Most Complex Random Quantum Circuit via Tensor Network Contraction
Yaojian Chen, Zhaoqi Sun, Chengyu Qiu +5
Classical simulation is essential in quantum algorithm development and quantum device verification. With the increasing complexity and diversity of quantum circuit structures, exis…