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20212026
most citedEnabling Large-Scale and High-Precision Fluid Simulations on Near-Term Quantum Computers

20 citations · 62 across the 25 of their papers we have counts for

collaborators

25 papers

quant-ph2026

Poisson-Compiled Quantum Singular Value Transformation for Power-Exponential Dissipation

Chao Wang, Xi-Ning Zhuang, Menghan Dou +2

We study quantum implementations of the contraction for and . Poisson summation provides an exact target--alias--tail decomposition whose…

quant-ph2026

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…

quant-ph2026

A Unified Poisson Summation Framework for Generalized Quantum Matrix Transformations

Chao Wang, Xi-Ning Zhuang, Menghan Dou +2

We present a unified algorithmic framework for quantum simulation of non-unitary dynamics and matrix functions, governed by the principle of spectral aliasing derived from the Pois…

quant-ph2025

Quantum Simulation of Non-Hermitian Special Functions and Dynamics via Contour-based Matrix Decomposition

Chao Wang, Huan-Yu Liu, Cheng Xue +4

Simulating non-Hermitian dynamics on quantum computers is often hindered by the decay of success probability and the instability of non-diagonalizable matrices. Here, we present co…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

Quantum State Preparation by Improved MPS Method

Chao Wang, Pengrui Zhou, Xi-Ning Zhuang +4

Efficient encoding of classical information plays a fundamental role in numerous practical quantum algorithms. However, the preparation of an arbitrary amplitude-encoded state has…

quant-ph2025

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…

quant-ph2025★ 1 cited

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…

quant-ph2025★ 1 cited

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…

quant-ph2024★ 6 cited

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…

quant-ph2024★ 2 cited

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…

quant-ph2024

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…

physics.comp-ph2024★ 20 cited

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…

quant-ph2024

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…

quant-ph2024★ 3 cited

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…

quant-ph2024★ 3 cited

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…

quant-ph2023

An efficient quantum algorithm for independent component analysis

Xiao-Fan Xu, Cheng Xue, Zhao-Yun Chen +2

Independent component analysis (ICA) is a fundamental data processing technique to decompose the captured signals into as independent as possible components. Computing the contrast…

quant-ph2023★ 7 cited

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…

quant-ph2023

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…

quant-ph2023

Scalable Program Implementation and Simulation of the Large-Scale Quantum Algorithm: Quantum Linear Solver and Beyond

Zhao-Yun Chen, Cheng Xue, Xi-Ning Zhuang +5

Program implementation and simulation are essential for research in the field of quantum algorithms. However, complex and large-scale quantum algorithms can pose challenges for exi…

quant-ph2023★ 1 cited

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…

quant-ph2022★ 8 cited

Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications

Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue +2

The continuous time stochastic process is a mainstream mathematical instrument modeling the random world with a wide range of applications involving finance, statistics, physics, a…