3 citations · 3 across the 5 of their papers we have counts for
7 papers · 1 filter
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…
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…
Bypassing the protection-sensitivity incompatibility in quantum-error-corrected metrology via asymmetric codes
Junjie Chen, Rui Luo, Zhenyu Du +3
Quantum metrology surpasses the classical precision limit by encoding signals in a probe state such that signal contributions are indistinguishable and their phases accumulate cohe…
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…
Expectation value estimation with parametrized quantum circuits
Bujiao Wu, Lingyu Kong, Yuxuan Yan +2
Estimating properties of quantum states, such as fidelities, molecular energies, and correlation functions, is a fundamental task in quantum information science. Due to the limitat…
Magic of quantum hypergraph states
Junjie Chen, Yuxuan Yan, You Zhou
Magic, or nonstabilizerness, characterizes the deviation of a quantum state from the set of stabilizer states and plays a fundamental role from quantum state complexity to universa…