304 citations · 437 across the 8 of their papers we have counts for
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quant-ph2023
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
Yangjun Wu, Chu Guo, Yi Fan +2
Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampl…
quant-ph2022★ 1 cited
Tensor Network Efficiently Representing Schmidt Decomposition of Quantum Many-Body States
Peng-Fei Zhou, Ying Lu, Jia-Hao Wang +1
Efficient methods to access the entanglement of a quantum many-body state, where the complexity generally scales exponentially with the system size , have long a concern. Here w…
quant-ph2022★ 3 cited
Quantum compiling with a variational instruction set for accurate and fast quantum computing
Ying Lu, Peng-Fei Zhou, Shao-Ming Fei +1
The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the…