output
20182026
most cited64-Qubit Quantum Circuit Simulation

141 citations

Showing quant-phShow all

37 papers · 1 filter

quant-ph2026

Overcoming the Speed-Fidelity Trade-off in Fast CZ Gates via Cyclic Control

Ze-An Zhao, Hai-Feng Zhang, Tian-Le Wang +10

High-fidelity quantum gates are essential for scalable quantum computation. However, at short durations, short-timescale waveform distortions break the time-reflection symmetry of…

quant-ph2026

On-chip Parametric Amplification in a Double Quantum Dots Circuit

Yong-Qiang Xu, Rui Wu, Si-Si Gu +8

In microwave-based quantum circuits, including double quantum dots (DQDs), superconducting qubits and spin qubits, parametric amplifiers are indispensable in achieving high-fidelit…

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

Remote entanglement generation via enhanced quantum state transfer

Tian-Le Wang, Peng Wang, Ze-An Zhao +16

Achieving robust and scalable remote quantum entanglement is a fundamental challenge for the development of distributed quantum networks and modular quantum computing systems. Alon…

quant-ph2025

Accelerating Fermionic System Simulation on Quantum Computers

Qing-Song Li, Jiaxuan Zhang, Huan-Yu Liu +3

A potential approach for demonstrating quantum advantage is using quantum computers to simulate fermionic systems. Quantum algorithms for fermionic system simulation usually involv…

quant-ph2025

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…

quant-ph2025★ 8 cited

Digital quantum magnetism on a trapped-ion quantum computer

Reza Haghshenas, Eli Chertkov, Michael Mills +56

Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitizatio…

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

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…

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★ 12 cited

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…

quant-ph2024

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…

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-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…

quant-ph2022★ 17 cited

Concatenation of the Gottesman-Kitaev-Preskill code with the XZZX surface code

Jiaxuan Zhang, Yu-Chun Wu, Guo-Ping Guo

Bosonic codes provide an alternative option for quantum error correction. An important category of bosonic codes called the Gottesman-Kitaev-Preskill (GKP) code has aroused much in…

quant-ph2021★ 17 cited

Quantum error correction with the color-Gottesman-Kitaev-Preskill code

Jiaxuan Zhang, Jian Zhao, Yu-Chun Wu +1

The Gottesman-Kitaev-Preskill (GKP) code is an important type of bosonic quantum error-correcting code. Since the GKP code only protects against small shift errors in and…

quant-ph2021★ 2 cited

Quantum homotopy perturbation method for nonlinear dissipative ordinary differential equations

Cheng Xue, Yu-Chun Wu, Guo-Ping Guo

While quantum computing provides an exponential advantage in solving linear differential equations, there are relatively few quantum algorithms for solving nonlinear differential e…

quant-ph2021★ 9 cited

Black-Box Quantum State Preparation with Inverse Coefficients

Shengbin Wang, Zhimin Wang, Runhong He +8

Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms, which is applied to transduce the data from computational basis into a…

quant-ph2021★ 41 cited

Mitigating Barren Plateaus with Transfer-learning-inspired Parameter Initializations

Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu +2

Variational quantum algorithms (VQAs) are widely applied in the noisy intermediate-scale quantum era and are expected to demonstrate quantum advantage. However, training VQAs faces…

quant-ph2021★ 21 cited

Shortcuts to Quantum Approximate Optimization Algorithm

Yahui Chai, Yong-Jian Han, Yu-Chun Wu +3

The Quantum Approximate Optimization Algorithm (QAOA) is a quantum-classical hybrid algorithm intending to find the ground state of a target Hamiltonian. Theoretically, QAOA can ob…

quant-ph2021★ 10 cited

Quantum Algorithm for Solving a Quadratic Nonlinear System of Equations

Cheng Xue, Xiao-Fan Xu, Yu-Chun Wu +1

Solving a quadratic nonlinear system of equations (QNSE) is a fundamental, but important, task in nonlinear science. We propose an efficient quantum algorithm for solving -dimen…

quant-ph2021★ 6 cited

Quantum Newton's method for solving system of nonlinear algebraic equations

Cheng Xue, Yu-Chun Wu, Guo-Ping Guo

While quantum computing provides an exponential advantage in solving system of linear equations, there is little work to solve system of nonlinear equations with quantum computing.…