most citedVQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2024

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…

quant-ph20241 cited

QSRA: A QPU Scheduling and Resource Allocation Approach for Cloud-Based Quantum Computing

Binhan Lu, Zhaoyun Chen, Yuchun Wu

Quantum cloud platforms, which rely on Noisy Intermediate-Scale Quantum (NISQ) devices, face significant challenges in efficiently managing quantum programs. This paper proposes a…

cs.AR2024

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…

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-ph2023

An Improved QFT-Based Quantum Comparator and Extended Modular Arithmetic Using One Ancilla Qubit

Yewei Yuan, Chao Wang, Bei Wang +4

Quantum comparators and modular arithmetic are fundamental in many quantum algorithms. Current research mainly focuses on operations between two quantum states. However, various ap…

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…