266 citations · 789 across the 22 of their papers we have counts for
23 papers
Quantum neural network equipped with backpropagation on a qudit processor
Yibo Yuan, Zhuoyue Xu, Zhenyue Du +7
Quantum neural networks (QNNs), one of the fundamental algorithms in quantum machine learning, have been widely used in classification and identification tasks. However, the capabi…
High-Accuracy Temporal Prediction via Experimental Quantum Reservoir Computing in Correlated Spins
Yanjun Hou, Juncheng Hua, Ze Wu +6
Physical reservoir computing provides a powerful machine learning paradigm that exploits nonlinear physical dynamics for efficient information processing. By incorporating quantum…
Møller-Plesset Perturbation Theory Calculations on Quantum Devices
Junxu Li, Xingyu Gao, Manas Sajjan +3
Accurate electronic structure calculations might be one of the most anticipated applications of quantum computing.The recent landscape of quantum simulations within the Hartree-Foc…
Variational Quantum Metrology with Loschmidt Echo
Ran Liu, Ze Wu, Xiaodong Yang +6
By utilizing quantum mechanical effects, such as superposition and entanglement, quantum metrology promises higher precision than the classical strategies. It is, however, practica…
Optimal and robust experiment design for quantum state tomography of star-topology register
Ran Liu, Yanjun Hou, Ze Wu +5
While quantum state tomography plays a vital role in the verification and benchmarking of quantum systems, it is an intractable task if the controllability and measurement of quant…
Quantum Anomaly Detection with a Spin Processor in Diamond
Zihua Chai, Ying Liu, Mengqi Wang +5
In the processing of quantum computation, analyzing and learning the pattern of the quantum data are essential for many tasks. Quantum machine learning algorithms can not only deal…
Resonant Quantum Principal Component Analysis
Zhaokai Li, Zihua Chai, Yuhang Guo +6
Principal component analysis has been widely adopted to reduce the dimension of data while preserving the information. The quantum version of PCA (qPCA) can be used to analyze an u…
Quantum Simulation of Resonant Transitions for Solving the Eigen-problem of an Effective Water Hamiltonian
Zhaokai Li, Xiaomei Liu, Hefeng Wang +5
It is difficult to calculate the energy levels and eigenstates of a large physical system on a classical computer because of the exponentially growing size of the Hilbert space. In…
Experimental Cryptographic Verification for Near-Term Quantum Cloud Computing
Xi Chen, Bin Cheng, Zhaokai Li +4
Recently, there are more and more organizations offering quantum-cloud services, where any client can access a quantum computer remotely through the internet. In the near future, t…
Quantum speed-up in solving the maximal clique problem
Weng-Long Chang, Qi Yu, Zhaokai Li +3
The maximal clique problem, to find the maximally sized clique in a given graph, is classically an NP-complete computational problem, which has potential applications ranging from…
Uncertainty conservation relations: theory and experiment
Hengyan Wang, Zhihao Ma, Shengjun Wu +8
As a very fundamental principle in quantum physics, uncertainty principle has been studied intensively via various uncertainty inequalities. Based on the information measure introd…
High-fidelity adiabatic quantum computation using the intrinsic Hamiltonian of a spin system: Application to the experimental factorization of 291311
Zhaokai Li, Nikesh S. Dattani, Xi Chen +6
In previous implementations of adiabatic quantum algorithms using spin systems, the average Hamiltonian method with Trotter's formula was conventionally adopted to generate an effe…
Scalable quantum computation based on quantum actuated nuclear-spin decoherence-free qubits
Xing Rong, Lihong Dong, Jianpei Geng +4
We propose a novel architecture for scalable quantum computation based on quantum actuated decoherence-free (DF) qubits. Each qubit is encoded by the DF subspace of a nuclear spin…
Experimental Adiabatic Quantum Factorization under Ambient Conditions Based on a Solid-State Single Spin System
Kebiao Xu, Tianyu Xie, Zhaokai Li +8
The adiabatic quantum computation is a universal and robust method of quantum computing. In this architecture, the problem can be solved by adiabatically evolving the quantum proce…
Experimentally Probing Topological Order and Its Breakdown via Modular Matrices
Zhihuang Luo, Jun Li, Zhaokai Li +4
The modern conception of phases of matter has undergone tremendous developments since the first observation of topologically ordered states in fractional quantum Hall systems in th…
Experimental Preparation of Topologically Ordered States via Adiabatic Evolution
Zhihuang Luo, Jun Li, Zhaokai Li +4
Topological orders are a class of exotic states of matter characterized by patterns of long-range entanglement. Certain topologically ordered systems are proposed as potential real…
Direct measurement of topological numbers with spins in diamond
Fei Kong, Chenyong Ju, Ying Liu +9
Topological numbers can characterize the transition between different topological phases, which are not described by Landau's paradigm of symmetry breaking. Since the discovery of…
Experimental observation of topological transitions in interacting multi-spin systems
Zhihuang Luo, Chao Lei, Jun Li +4
Topologically ordered phase has emerged as one of most exciting concepts that not only broadens our understanding of phases of matter, but also has been found to have potential app…
Experimental test of Heisenberg's measurement uncertainty relation based on statistical distances
Wenchao Ma, Zhihao Ma, Hengyan Wang +9
Incompatible observables can be approximated by compatible observables in joint measurement or measured sequentially, with constrained accuracy as implied by Heisenberg's original…
Hybrid magic state distillation for universal fault-tolerant quantum computation
Wenqiang Zheng, Yafei Yu, Jian Pan +7
A set of stabilizer operations augmented by some special initial states known as 'magic states', gives the possibility of universal fault-tolerant quantum computation. However, mag…
Experimental Realization of Quantum Artificial Intelligence
Li Zhaokai, Liu Xiaomei, Xu Nanyang +1
Machines are possible to have some artificial intelligence like human beings owing to particular algorithms or software. Such machines could learn knowledge from what people taught…
Experimental realization of quantum algorithm for solving linear systems of equations
Jian Pan, Yudong Cao, Xiwei Yao +5
Quantum computers have the potential of solving certain problems exponentially faster than classical computers. Recently, Harrow, Hassidim and Lloyd proposed a quantum algorithm fo…
Solving Quantum Ground-State Problems with Nuclear Magnetic Resonance
Zhaokai Li, Man-Hong Yung, Hongwei Chen +5
Quantum ground-state problems are computationally hard problems; for general many-body Hamiltonians, there is no classical or quantum algorithm known to be able to solve them effic…