141 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Science and Technology of ChinaCN68 papers
- CAS Key Laboratory of Quantum Information, USTCCN29 papers
- Chinese Academy of SciencesCN21 papers
- University at Buffalo, State University of New YorkUS10 papers
- Institute of MicroelectronicsCN9 papers
- CAS Key Laboratory of Urban Pollutant ConversionCN8 papers
- University of California, Los AngelesUS7 papers
- Institute of PhysicsPL6 papers
- Beijing Academy of Science and TechnologyCN4 papers
- Ocean University of ChinaCN4 papers
- QuantumCTek (China)CN4 papers
- Hefei UniversityCN3 papers
11 papers · 1 filter
Quantum homotopy analysis method with quantum-compatible linearization for nonlinear partial differential equations
Cheng Xue, Xiao-Fan Xu, Xi-Ning Zhuang +8
Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. Howeve…
Quantum Computational Insurance and Actuarial Science
Huan-Yu Liu, Xi-Ning Zhuang, Chao Wang +7
In recent years, quantum computation has been rapidly advancing, driving a technological revolution with significant potential across various sectors, particularly in finance. Desp…
Highly tunable 2D silicon quantum dot array with coupling beyond nearest neighbors
Ning Wang, Jia-Min Kang, Wen-Long Lu +6
Scaling up quantum dots to two-dimensional (2D) arrays is a crucial step for advancing semiconductor quantum computation. However, maintaining excellent tunability of quantum dot p…
Pursuing high-fidelity control of spin qubits in natural Si/SiGe quantum dot
Ning Wang, Shao-Min Wang, Run-Ze Zhang +6
Electron spin qubits in silicon are a promising platform for fault-tolerant quantum computing. Low-frequency noise, including nuclear spin fluctuations and charge noise, is a prima…
Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation
Shengbin Wang, Guihui Li, Zhimin Wang +5
Solving combinatorial optimization problems using variational quantum algorithms (VQAs) might be a promise application in the NISQ era. However, the limited trainability of VQAs co…
A hybrid quantum-classical framework for computational fluid dynamics
Chuang-Chao Ye, Ning-Bo An, Teng-Yang Ma +4
Great progress has been made in quantum computing in recent years, providing opportunities to overcome computation resource poverty in many scientific computations like computation…
Enabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers
Zhao-Yun Chen, Teng-Yang Ma, Chuang-Chao Ye +29
Quantum computational fluid dynamics (QCFD) offers a promising alternative to classical computational fluid dynamics (CFD) by leveraging quantum algorithms for higher efficiency. T…
Simulation of open quantum systems on universal quantum computers
Huan-Yu Liu, Xiaoshui Lin, Zhao-Yun Chen +8
The rapid development of quantum computers has enabled demonstrations of quantum advantages on various tasks. However, real quantum systems are always dissipative due to their inev…
A diverse set of two-qubit gates for spin qubits in semiconductor quantum dots
Ming Ni, Rong-Long Ma, Zhen-Zhen Kong +11
To realize large-scale quantum information processes, an ideal scheme for two-qubit operations should enable diverse operations with given hardware and physical interaction. Howeve…
Variational quantum eigensolver with linear depth problem-inspired ansatz for solving portfolio optimization in finance
Shengbin Wang, Peng Wang, Guihui Li +8
Great efforts have been dedicated in recent years to explore practical applications for noisy intermediate-scale quantum (NISQ) computers, which is a fundamental and challenging pr…
Unveiling NPT bound problem: From Distillability Sets to Inequalities and Multivariable Insights
Si-Yuan Qi, Geni Gupur, Yu-Chun Wu +1
Equivalence between Positive Partial Transpose (PPT) entanglement and bound entanglement is a long-standing open problem in quantum information theory. So far limited progress has…