20 citations · 42 across the 18 of their papers we have counts for
15 papers · 1 filter
Simulation of Lindbladian dynamics via adaptive variational quantum trajectory compression
Huan-Yu Liu, Cheng Xue, Yun-Jie Wang +5
Quantum simulation of open quantum systems in the noisy intermediate-scale quantum (NISQ) era is hindered by the non-unitary nature of dissipative dynamics and the limited quantum…
A Pathway to Practical Quantum Advantage in Solving Navier-Stokes Equations
Xi-Ning Zhuang, Zhao-Yun Chen, Ming-Yang Tan +12
The advent of fault-tolerant quantum computing (FTQC) promises to tackle classically intractable problems. A key milestone is solving the Navier-Stokes equations (NSE), which has r…
Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
Sheng Zhang, Yun-Jie Wang, Peng Wang +19
Quantum routers (QRouters) are essential components of bucket-brigade quantum random access memory (QRAM), enabling quantum applications such as Grover's search and quantum machine…
PolyQROM: Orthogonal-Polynomial-Based Quantum Reduced-Order Model for Flow Field Analysis
Yu Fang, Cheng Xue, Tai-Ping Sun +10
Quantum computing promises exponential acceleration for fluid flow simulations, yet the measurement overhead required to extract flow features from quantum-encoded flow field data…
SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations
Tai-Ping Sun, Zhao-Yun Chen, Yun-Jie Wang +6
Efficient simulation of large-scale quantum algorithms is pivotal yet challenging due to the exponential growth of the state space inherent in both Schödinger-based and Feynman-bas…
Refined Criteria for QRAM Error Suppression via Efficient Large-Scale QRAM Simulator
Yun-Jie Wang, Tai-Ping Sun, Xi-Ning Zhuang +6
Quantum random access memory (QRAM) is a critical primitive for quantum algorithms that require data lookup in superposition, but its lack of fault tolerance poses a major obstacle…
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…
Realizing Scalable Conditional Operations through Auxiliary Energy Levels
Sheng Zhang, Peng Duan, Yun-Jie Wang +19
In the noisy intermediate-scale quantum (NISQ) era, flexible quantum operations are essential for advancing large-scale quantum computing, as they enable shorter circuits that miti…
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue +7
Quantum machine learning has demonstrated significant potential in solving practical problems, particularly in statistics-focused areas such as data science and finance. However, c…
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…
Demonstrating a universal logical gate set in error-detecting surface codes on a superconducting quantum processor
Jiaxuan Zhang, Zhao-Yun Chen, Yun-Jie Wang +6
Fault-tolerant quantum computing (FTQC) is essential for achieving large-scale practical quantum computation. Implementing arbitrary FTQC requires the execution of a universal gate…
Towards Fault-Tolerant Quantum Deep Learning: Designing and Analyzing Quantum ResNet and Transformer with Quantum Arithmetic and Linear Algebra Primitives
Xiao-Fan Xu, Cheng Xue, Xi-Ning Zhuang +8
Achieving a practical quantum speedup for deep neural networks (DNNs) remains a central yet elusive goal, hindered by the dual challenges of constructing deep architectures and the…
Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms
Yun-Jie Wang, Sheng Zhang, Tai-Ping Sun +9
Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architect…
Data-driven Quantum Dynamical Embedding Method for Long-term Prediction on Near-term Quantum Computers
Tai-Ping Sun, Zhao-Yun Chen, Cheng Xue +7
The increasing focus on long-term time series prediction across various fields has been significantly strengthened by advancements in quantum computation. In this paper, we introdu…
Efficient and Error-Resilient Data Access Protocols for a Limited-Sized Quantum Random Access Memory
Zhao-Yun Chen, Cheng Xue, Yun-Jie Wang +8
Quantum Random Access Memory (QRAM) is a critical component for loading classical data into quantum computers. While constructing a practical QRAM presents several challenges, incl…