3 papers
quant-ph2026
Distilling the knowledge with quantum neural networks
Yuxuan Yan, Sitian Qian, Qi Zhao +1
Quantum Neural Networks (QNNs) are a promising class of quantum machine learning models with potential quantum advantages when implemented on scalable, error-corrected quantum comp…
quant-ph2026
TensorCircuit-NG: A Universal, Composable, and Scalable Platform for Quantum Computing and Quantum Simulation
Shi-Xin Zhang, Yu-Qin Chen, Weitang Li +22
We present TensorCircuit-NG, a next-generation quantum software platform designed to bridge the gap between quantum physics, artificial intelligence, and high-performance computing…
quant-ph2024
Variational LOCC-assisted quantum circuits for long-range entangled states
Yuxuan Yan, Muzhou Ma, You Zhou +1
Long-range entanglement is an important quantum resource, particularly for topological orders and quantum error correction. In reality, preparing long-range entangled states requir…