Xin Wang - RankMe

88 papers A* 7B 11Journal 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LCQNN: linear combination of quantum neural networks. Quantum Mach. Intell. Hongshun Yao, Xia Liu, Mingrui Jing, Guangxi Li, Xin Wang
2026	J	`jnl`	Quantum latent diffusion model for high-dimensional state generation. Quantum Mach. Intell. Guangxi Li, Mingrui Jing, Chenghong Zhu, Xin Wang
2025	J	`jnl`	A quest toward comprehensive benchmarking of quantum computing software. Nat. Comput. Sci. Chenghong Zhu, Lei Zhang, Xin Wang
2025	A*	`conf`	BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap. HPCA Xian Wu, Chenghong Zhu, Jingbo Wang, Xin Wang
2025	J	`jnl`	Classical Communication Cost of a Bipartite Quantum Channel Assisted by Non-Signaling Correlations. IEEE Trans. Inf. Theory Chengkai Zhu, Xuanqiang Zhao, Xin Wang
2025	J	`jnl`	Entanglement Cost of Discriminating Quantum States Under Locality Constraints. IEEE Trans. Inf. Theory Chenghong Zhu, Chengkai Zhu, Zhiping Liu, Xin Wang
2025	A*	`conf`	MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion. MICRO Xian Wu, Chenghong Zhu, Jingbo Wang, Xin Wang
2025	J	`jnl`	MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion. CoRR Xian Wu, Chenghong Zhu, Jingbo Wang, Xin Wang
2025	J	`jnl`	Optimizer-dependent generalization bound for quantum neural networks. Quantum Mach. Intell. Chenghong Zhu, Hongshun Yao, Yingjian Liu, Xin Wang
2025	J	`jnl`	Predicting symmetries of quantum dynamics with optimal samples. CoRR Masahito Hayashi, Yu-Ao Chen, Chenghong Zhu, Xin Wang
2025	B	`conf`	Riemannian Optimization for Holevo Capacity. ISIT Chengkai Zhu, Renfeng Peng, Bin Gao, Xin Wang
2025	A*	`conf`	S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices. ISCA Chenghong Zhu, Xian Wu, Jingbo Wang, Xin Wang
2025	J	`jnl`	Towards the ultimate limits of quantum channel discrimination and quantum communication. Sci. China Inf. Sci. Kun Fang, Gilad Gour, Xin Wang
2025	J	`jnl`	Virtual Quantum Markov Chains. IEEE Trans. Inf. Theory Yu-Ao Chen, Chengkai Zhu, Keming He, Mingrui Jing, Xin Wang
2024	J	`jnl`	BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap. CoRR Xian Wu, Chenghong Zhu, Jingbo Wang, Xin Wang
2024	J	`jnl`	Circuit Knitting Faces Exponential Sampling Overhead Scaling Bounded by Entanglement Cost. CoRR Mingrui Jing, Chengkai Zhu, Xin Wang
2024	B	`conf`	Entanglement cost of discriminating quantum states under locality constraints. ISIT Chenghong Zhu, Chengkai Zhu, Zhiping Liu, Xin Wang
2024	J	`jnl`	Estimate Distillable Entanglement and Quantum Capacity by Squeezing Useless Entanglement. IEEE J. Sel. Areas Commun. Chengkai Zhu, Chenghong Zhu, Xin Wang
2024	J	`jnl`	Hypothesis testing of symmetry in quantum dynamics. CoRR Yu-Ao Chen, Chenghong Zhu, Keming He, Yingjian Liu, Xin Wang
2024	J	`jnl`	Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations. CoRR Yin Mo, Lei Zhang, Yu-Ao Chen, Yingjian Liu, Tengxiang Lin, Xin Wang
2024	J	`jnl`	Quantum self-attention neural networks for text classification. Sci. China Inf. Sci. Guangxi Li, Xuanqiang Zhao, Xin Wang
2023	J	`jnl`	A hybrid quantum-classical Hamiltonian learning algorithm. Sci. China Inf. Sci. Youle Wang, Guangxi Li, Xin Wang
2023	J	`jnl`	Bounding the Forward Classical Capacity of Bipartite Quantum Channels. IEEE Trans. Inf. Theory Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2023	J	`jnl`	Computable and Faithful Lower Bound for Entanglement Cost. CoRR Xin Wang, Mingrui Jing, Chengkai Zhu
2023	J	`jnl`	Efficient information recovery from Pauli noise via classical shadow. CoRR Yifei Chen, Zhan Yu, Chenghong Zhu, Xin Wang
2023	J	`jnl`	Estimate distillable entanglement and quantum capacity by squeezing useless entanglement. CoRR Chengkai Zhu, Chenghong Zhu, Xin Wang
2023	J	`jnl`	Information recoverability of noisy quantum states. Quantum Xuanqiang Zhao, Benchi Zhao, Zihan Xia, Xin Wang
2023	J	`jnl`	Mitigating quantum errors via truncated Neumann series. Sci. China Inf. Sci. Kun Wang, Yu-Ao Chen, Xin Wang
2023	J	`jnl`	Reversible Entanglement Beyond Quantum Operations. CoRR Xin Wang, Yu-Ao Chen, Lei Zhang, Chenghong Zhu
2023	A*	`conf`	Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks. NeurIPS Hao-Kai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang
2023	J	`jnl`	Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks. CoRR Haokai Zhang, Chenghong Zhu, Mingrui Jing, Xin Wang
2023	B	`conf`	Upper Bounds on the Distillable Randomness of Bipartite Quantum States. ITW Ludovico Lami, Bartosz Regula, Xin Wang, Mark M. Wilde
2023	J	`jnl`	Virtual Quantum Markov Chains. CoRR Yu-Ao Chen, Chengkai Zhu, Keming He, Mingrui Jing, Xin Wang
2022	A*	`conf`	Concentration of Data Encoding in Parameterized Quantum Circuits. NeurIPS Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
2022	J	`jnl`	Concentration of Data Encoding in Parameterized Quantum Circuits. CoRR Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
2022	J	`jnl`	Fundamental limitations on optimization in variational quantum algorithms. CoRR Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang
2022	J	`jnl`	Information recoverability of noisy quantum states. CoRR Xuanqiang Zhao, Benchi Zhao, Zihan Xia, Xin Wang
2022	J	`jnl`	Mitigating barren plateaus of variational quantum eigensolvers. CoRR Xia Liu, Geng Liu, Jiaxin Huang, Xin Wang
2022	J	`jnl`	Optimal quantum dataset for learning a unitary transformation. CoRR Zhan Yu, Xuanqiang Zhao, Benchi Zhao, Xin Wang
2022	A*	`conf`	Power and limitations of single-qubit native quantum neural networks. NeurIPS Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang
2022	J	`jnl`	Power and limitations of single-qubit native quantum neural networks. CoRR Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang
2022	J	`jnl`	Quantum Phase Processing: Transform and Extract Eigen-Information of Quantum Systems. CoRR Xin Wang, Youle Wang, Zhan Yu, Lei Zhang
2022	J	`jnl`	Quantum Self-Attention Neural Networks for Text Classification. CoRR Guangxi Li, Xuanqiang Zhao, Xin Wang
2022	J	`jnl`	Upper Bounds on the Distillable Randomness of Bipartite Quantum States. CoRR Ludovico Lami, Bartosz Regula, Xin Wang, Mark M. Wilde
2021	J	`jnl`	LOCCNet: a machine learning framework for distributed quantum information processing. CoRR Xuanqiang Zhao, Benchi Zhao, Zihe Wang, Zhixin Song, Xin Wang
2021	J	`jnl`	Lower bound the T-count via unitary stabilizer nullity. CoRR Jiaqing Jiang, Xin Wang
2021	J	`jnl`	Physical Implementability of Linear Maps and Its Application in Error Mitigation. Quantum Jiaqing Jiang, Kun Wang, Xin Wang
2021	J	`jnl`	Pursuing the Fundamental Limits for Quantum Communication. IEEE Trans. Inf. Theory Xin Wang
2021	J	`jnl`	Symmetric distinguishability as a quantum resource. CoRR Robert Salzmann, Nilanjana Datta, Gilad Gour, Xin Wang, Mark M. Wilde
2021	J	`jnl`	Ultimate Limits of Quantum Channel Discrimination. CoRR Kun Fang, Gilad Gour, Xin Wang
2021	B	`conf`	Upper bound on the classical capacity of a quantum channel assisted by classical feedback. ISIT Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2021	A*	`conf`	VSQL: Variational Shadow Quantum Learning for Classification. AAAI Guangxi Li, Zhixin Song, Xin Wang
2021	J	`jnl`	Variational Quantum Singular Value Decomposition. Quantum Xin Wang, Zhixin Song, Youle Wang
2020	J	`jnl`	Bounding the forward classical capacity of bipartite quantum channels. CoRR Dawei Ding, Sumeet Khatri, Yihui Quek, Peter W. Shor, Xin Wang, Mark M. Wilde
2020	J	`jnl`	Cost of quantum entanglement simplified. CoRR Xin Wang, Mark M. Wilde
2020	J	`jnl`	More Practical and Adaptive Algorithms for Online Quantum State Learning. CoRR Yifang Chen, Xin Wang
2020	B	`conf`	Quantification of Unextendible Entanglement and Its Applications in Entanglement Distillation. ISIT Kun Wang, Xin Wang, Mark M. Wilde
2020	J	`jnl`	Quantum Channel Simulation and the Channel's Smooth Max-Information. IEEE Trans. Inf. Theory Kun Fang, Xin Wang, Marco Tomamichel, Mario Berta
2020	J	`jnl`	Time-dependent Hamiltonian simulation withL1-norm scaling. Quantum Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
2020	J	`jnl`	VSQL: Variational Shadow Quantum Learning for Classification. CoRR Guangxi Li, Zhixin Song, Xin Wang
2020	J	`jnl`	Variational Quantum Algorithms for Trace Distance and Fidelity Estimation. CoRR Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang
2020	J	`jnl`	Variational Quantum Singular Value Decomposition. CoRR Xin Wang, Zhixin Song, Youle Wang
2019	J	`jnl`	Non-Asymptotic Entanglement Distillation. IEEE Trans. Inf. Theory Kun Fang, Xin Wang, Marco Tomamichel, Runyao Duan
2019	J	`jnl`	On Converse Bounds for Classical Communication Over Quantum Channels. IEEE Trans. Inf. Theory Xin Wang, Kun Fang, Marco Tomamichel
2019	J	`jnl`	Optimizing the fundamental limits for quantum and private communication. CoRR Xin Wang
2019	J	`jnl`	Quantifying the magic of quantum channels. CoRR Xin Wang, Mark M. Wilde, Yuan Su
2019	J	`jnl`	Quantifying the unextendibility of entanglement. CoRR Kun Wang, Xin Wang, Mark M. Wilde
2019	J	`jnl`	Resource theory of asymmetric distinguishability for quantum channels. CoRR Xin Wang, Mark M. Wilde
2019	J	`jnl`	Resource theory of asymmetric distinguishability. CoRR Xin Wang, Mark M. Wilde
2019	J	`jnl`	Semidefinite Programming Converse Bounds for Quantum Communication. IEEE Trans. Inf. Theory Xin Wang, Kun Fang, Runyao Duan
2019	J	`jnl`	Time-dependent Hamiltonian simulation with $L^1$-norm scaling. CoRR Dominic W. Berry, Andrew M. Childs, Yuan Su, Xin Wang, Nathan Wiebe
2019	J	`jnl`	α-Logarithmic negativity. CoRR Xin Wang, Mark M. Wilde
2018	B	`conf`	Converse Bounds for Classical Communication Over Quantum Broadcast Channels and Quantum Multi-Access Channels. ISIT Wei Xie, Xin Wang, Runyao Duan
2018	J	`jnl`	Efficiently computable bounds for magic state distillation. CoRR Xin Wang, Mark M. Wilde, Yuan Su
2018	J	`jnl`	Exact entanglement cost of quantum states and channels under PPT-preserving operations. CoRR Xin Wang, Mark M. Wilde
2018	B	`conf`	On Finite Blocklength Converse Bounds for Classical Communication Over Quantum Channels. ISIT Xin Wang, Kun Fang, Marco Tomamichel
2018	B	`conf`	Quantum Channel Simulation and the Channel's Smooth Max-Information. ISIT Kun Fang, Xin Wang, Marco Tomamichel, Mario Berta
2018	—	`ch.`	Q\|SI⟩ : A Quantum Programming Environment. Symposium on Real-Time and Hybrid Systems Shusen Liu, Xin Wang, Li Zhou, Ji Guan, Yinan Li, Yang He, Runyao Duan, Mingsheng Ying
2018	J	`jnl`	Semidefinite Programming Strong Converse Bounds for Classical Capacity. IEEE Trans. Inf. Theory Xin Wang, Wei Xie, Runyao Duan
2018	—	`—`	Semidefinite optimization for quantum information Xin Wang
2018	J	`jnl`	Separation Between Quantum Lovász Number and Entanglement-Assisted Zero-Error Classical Capacity. IEEE Trans. Inf. Theory Xin Wang, Runyao Duan
2018	J	`jnl`	Using and reusing coherence to realize quantum processes. Quantum María García Díaz, Kun Fang, Xin Wang, Matteo Rosati, Michalis Skotiniotis, John Calsamiglia, Andreas J. Winter
2017	J	`jnl`	On converse bounds for classical communication over quantum channels. CoRR Xin Wang, Kun Fang, Marco Tomamichel
2017	J	`jnl`	Q\|SI〉: A Quantum Programming Environment. CoRR Shusen Liu, Xin Wang, Li Zhou, Ji Guan, Yinan Li, Yang He, Runyao Duan, Mingsheng Ying
2017	B	`conf`	Semidefinite programming converse bounds for classical communication over quantum channels. ISIT Xin Wang, Wei Xie, Runyao Duan
2016	B	`conf`	A semidefinite programming upper bound of quantum capacity. ISIT Xin Wang, Runyao Duan
2016	B	`conf`	On the quantum no-signalling assisted zero-error classical simulation cost of non-commutative bipartite graphs. ISIT Xin Wang, Runyao Duan
2015	J	`jnl`	Activated zero-error classical capacity of quantum channels in the presence of quantum no-signalling correlations. CoRR Runyao Duan, Xin Wang