295 citations · 513 across the 18 of their papers we have counts for
19 papers
Theory of the Edge-of-Chaos Advantage in Quantum Reservoir Computing
Shuaifan Cao, Wei Xia, Xiaopeng Li
Numerical studies suggest that quantum reservoir computing performs optimally near the edge of chaos, a behavior commonly attributed to a balance between memory retention and nonli…
Quantum magic and non-commutativity as computational resources in quantum reservoir computing
Wei Xia, Shuaifan Cao, Xingze Qiu +1
Quantum reservoir computing (QRC) provides a hardware-efficient paradigm for temporal information processing on near-term quantum devices. Despite rapid experimental progress, a ri…
Randomness-enhanced expressivity of quantum neural networks
Yadong Wu, Juan Yao, Pengfei Zhang +1
As a hybrid of artificial intelligence and quantum computing, quantum neural networks (QNNs) have gained significant attention as a promising application on near-term, noisy interm…
Quantum Force Sensing by Digital Twinning of Atomic Bose-Einstein Condensates
Tangyou Huang, Zhongcheng Yu, Zhongyi Ni +2
High sensitivity detection plays a vital role in science discoveries and technological applications. While intriguing methods utilizing collective many-body correlations and quantu…
Universal Quantum Optimization with Cold Atoms in an Optical Cavity
Meng Ye, Ye Tian, Jian Lin +6
Cold atoms in an optical cavity have been widely used for quantum simulations of many-body physics, where the quantum control capability has been advancing rapidly in recent years.…
Configured Quantum Reservoir Computing for Multi-Task Machine Learning
Wei Xia, Jie Zou, Xingze Qiu +5
Amidst the rapid advancements in experimental technology, noise-intermediate-scale quantum (NISQ) devices have become increasingly programmable, offering versatile opportunities to…
Effect of Quantum Statistics on Computational Power of Atomic Quantum Annealers
Yuchen Luo, Xiaopeng Li
Quantum particle statistics fundamentally controls the way particles interact, and plays an essential role in determining the properties of the system at low temperature. Here we s…
Programmable Hamiltonian engineering with quadratic quantum Fourier transform
Pei Wang, Zhijuan Huang, Xingze Qiu +1
Quantum Fourier transform (QFT) is a widely used building block for quantum algorithms, whose scalable implementation is challenging in experiments. Here, we propose a protocol of…
Kernel-Function Based Quantum Algorithms for Finite Temperature Quantum Simulation
Hai Wang, Jue Nan, Tao Zhang +3
Computing finite temperature properties of a quantum many-body system is key to describing a broad range of correlated quantum many-body physics from quantum chemistry and condense…
Hard instance learning for quantum adiabatic prime factorization
Jian Lin, Zhengfeng Zhang, Junping Zhang +1
Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography. With programmable qua…
Fermion Sampling Made More Efficient
Haoran Sun, Jie Zou, Xiaopeng Li
Fermion sampling is to generate probability distribution of a many-body Slater-determinant wavefunction, which is termed "determinantal point process" in statistical analysis. For…
Peratic Phase Transition by Bulk-to-Surface Response
Xingze Qiu, Hai Wang, Wei Xia +1
The study of dynamical phase transitions has been attracting considerable research efforts in the last decade. One theme of present interest is to search for exotic scenarios beyon…
The Reservoir Learning Power across Quantum Many-Boby Localization Transition
Wei Xia, Jie Zou, Xingze Qiu +1
Harnessing the quantum computation power of the present noisy-intermediate-size-quantum devices has received tremendous interest in the last few years. Here we study the learning p…
Quantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations
Jue Nan, Jian Lin, Yuchen Luo +2
There have been considerable research efforts devoted to quantum simulations of Fermi-Hubbard model with ultracold atoms loaded in optical lattices. In such experiments, the antife…
Programmable Quantum Annealing Architectures with Ising Quantum Wires
Xingze Qiu, Peter Zoller, Xiaopeng Li
Quantum annealing aims at solving optimization problems efficiently by preparing the ground state of an Ising spin-Hamiltonian quantum mechanically. A prerequisite of building a qu…
Precise Programmable Quantum Simulations with Optical Lattices
Xingze Qiu, Jie Zou, Xiaodong Qi +1
We present an efficient approach to precisely simulate tight binding models with optical lattices, based on programmable digital-micromirror-device (DMD) techniques. Our approach c…
Quantum Adiabatic Algorithm Design using Reinforcement Learning
Jian Lin, Zhong Yuan Lai, Xiaopeng Li
Quantum algorithm design plays a crucial role in exploiting the computational advantage of quantum devices. Here we develop a deep-reinforcement-learning based approach for quantum…
Quantum Information Scrambling Through a High-Complexity Operator Mapping
Xiaopeng Li, Guanyu Zhu, Muxin Han +1
Quantum information scrambling has attracted much attention amid the effort to reconcile the conflict between quantum-mechanical unitarity and the thermalizaiton-irreversibility in…
Machine Learning Topological States
Dong-Ling Deng, Xiaopeng Li, S. Das Sarma
Artificial neural networks and machine learning have now reached a new era after several decades of improvement where applications are to explode in many fields of science, industr…