no code implementations • 5 Mar 2024 • Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that have long challenged classical computational methods.
no code implementations • 7 Dec 2023 • Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia
Distributed quantum computing, particularly distributed quantum machine learning, has gained substantial prominence for its capacity to harness the collective power of distributed quantum resources, transcending the limitations of individual quantum nodes.
no code implementations • 2 Aug 2022 • Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Zhixin Song, Yongshan Ding, Fred Chong, Song Han, Xuehai Qian, Yiyu Shi
Therefore, we propose NAPA, a native-pulse ansatz generator framework for VQAs.
2 code implementations • 28 Jan 2021 • Xuanqiang Zhao, Benchi Zhao, Zihe Wang, Zhixin Song, Xin Wang
Here we introduce LOCCNet, a machine learning framework facilitating protocol design and optimization for distributed quantum information processing tasks.
1 code implementation • 28 Dec 2020 • Kun Wang, Zhixin Song, Xuanqiang Zhao, Zihe Wang, Xin Wang
Firstly, it decomposes a positive map into a combination of quantum operations implementable on near-term quantum devices.
Quantum Physics Strongly Correlated Electrons
1 code implementation • 15 Dec 2020 • Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies.
1 code implementation • 10 Dec 2020 • Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang
A novel variational algorithm for trace distance estimation is then derived from this technique, with the assistance of a single ancillary qubit.
Quantum Physics Information Theory Mathematical Physics Information Theory Mathematical Physics Optimization and Control
1 code implementation • 3 Jun 2020 • Xin Wang, Zhixin Song, Youle Wang
In this work, we propose a variational quantum algorithm for singular value decomposition (VQSVD).