20 citations · 62 across the 31 of their papers we have counts for
31 papers
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…
Routing Codes: High-Rate Quantum LDPC Codes with Short, Parallel Non-Local Connectivity
Jiaxuan Zhang, Zhao-Yun Chen, Peng Duan +6
Quantum low-density parity-check (qLDPC) codes are promising candidates for realizing large-scale fault-tolerant quantum computing. Although many codes with favorable theoretical p…
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
Songxin Qu, Tai-Ping Sun, Yun-Jie Wang +8
Large language models (LLMs) show strong capabilities in general reasoning but typically lack reliability in scientific domains like quantum mechanics, which demand strict adherenc…
Adaptive Deformation of Color Code in Square Lattices with Defects
Tian-Hao Wei, Jia-Xuan Zhang, Jia-Ning Li +3
Quantum error correction is a crucial technology for fault tolerant quantum computing. On superconducting platforms, hardware defects in large scale quantum processors can disrupt…
Variational quantum simulation of many-body dissipative dynamics on a superconducting quantum processor
Huan-Yu Liu, Tai-Ping Sun, Zhao-Yun Chen +7
Open quantum systems host a wide range of intriguing phenomena, yet their simulation on well-controlled quantum devices is challenging, owing to the exponential growth of the Hilbe…
Low-Overhead and High-Fidelity Preparation of Logical Non-Clifford States with Multi-Level Transversal Injection
Jiaxuan Zhang, Tian-Hao Wei, Xi-Ning Zhuang +4
Rotation gates are widely used in various quantum algorithms. To implement fault-tolerant rotation gates, state distillation or gate synthesis is typically employed. However, the o…
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…
Spectator Leakage Suppression via Invariant Subspace Engineering for CZ Gates in Superconducting Quantum Circuits
Peng Wang, Bin-Han Lu, Tian-Le Wang +11
Spectator leakage poses a fundamental challenge to scalable quantum computing, particularly as frequency collisions become unavoidable in multi-qubit processors. We introduce a lea…
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…
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17
Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…
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…
Neural Network-Based Frequency Optimization for Superconducting Quantum Chips
Bin-Han Lu, Peng Wang, Qing-Song Li +3
Optimizing the frequency configuration of qubits and quantum gates in superconducting quantum chips presents a complex NP-complete optimization challenge. This process is critical…
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…
Scalable Constant-Time Logical Gates for Large-Scale Quantum Computation Using Window-Based Correlated Decoding
Jiaxuan Zhang, Zhao-Yun Chen, Jia-Ning Li +6
Large-scale quantum computation requires to be performed in the fault-tolerant manner. One crucial challenge of fault-tolerant quantum computing (FTQC) is reducing the overhead of…
HiMA: Hierarchical Quantum Microarchitecture for Qubit-Scaling and Quantum Process-Level Parallelism
Qi Zhou, Zi-Hao Mei, Han-Qing Shi +10
Quantum computing holds immense potential for addressing a myriad of intricate challenges, which is significantly amplified when scaled to thousands of qubits. However, a major cha…
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…
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…
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…
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…