9 citations · 24 across the 17 of their papers we have counts for
17 papers · 1 filter
MUSS-TI: Multi-level Shuttle Scheduling for Large-Scale Entanglement Module Linked Trapped-Ion
Xian Wu, Chenghong Zhu, Jingbo Wang +1
Trapped-ion computing is a leading architecture in the pursuit of scalable and high fidelity quantum systems. Modular quantum architectures based on photonic interconnects offer a…
Scalable Quantum Architecture Search via Landscape Analysis
Chenghong Zhu, Xian Wu, Hao-Kai Zhang +3
Balancing trainability and expressibility is a central challenge in variational quantum computing, and quantum architecture search (QAS) plays a pivotal role by automatically desig…
S-SYNC: Shuttle and Swap Co-Optimization in Quantum Charge-Coupled Devices
Chenghong Zhu, Xian Wu, Jingbo Wang +1
The Quantum Charge-Coupled Device (QCCD) architecture is a modular design to expand trapped-ion quantum computer that relies on the coherent shuttling of qubits across an array of…
Predicting symmetries of quantum dynamics with optimal samples
Masahito Hayashi, Yu-Ao Chen, Chenghong Zhu +1
Identifying symmetries in quantum dynamics, such as identity or time-reversal invariance, is a crucial challenge with profound implications for quantum technologies. We introduce a…
Optimizer-Dependent Generalization Bound for Quantum Neural Networks
Chenghong Zhu, Hongshun Yao, Yingjian Liu +1
Quantum neural networks (QNNs) play a pivotal role in addressing complex tasks within quantum machine learning, analogous to classical neural networks in deep learning. Ensuring co…
BOSS: Blocking algorithm for optimizing shuttling scheduling in Ion Trap
Xian Wu, Chenghong Zhu, Jingbo Wang +1
Ion traps stand at the forefront of quantum hardware technology, presenting unparalleled benefits for quantum computing, such as high-fidelity gates, extensive connectivity, and pr…
Hypothesis testing of symmetry in quantum dynamics
Yu-Ao Chen, Chenghong Zhu, Keming He +2
Symmetry plays a crucial role in quantum physics, dictating the behavior and dynamics of physical systems. In this paper, we develop a hypothesis-testing framework for quantum dyna…
Quantum Entanglement Allocation through a Central Hub
Yu-Ao Chen, Xia Liu, Chenghong Zhu +3
Establishing a fully functional quantum internet relies on the efficient allocation of multipartite entangled states, which enables advanced quantum communication protocols, secure…
Predicting quantum learnability from landscape fluctuation
Hao-Kai Zhang, Chenghong Zhu, Xin Wang
The conflict between trainability and expressibility is a key challenge in variational quantum computing and quantum machine learning. Resolving this conflict necessitates designin…
Physical Implementability for Reversible Magic State Manipulation
Yu-Ao Chen, Gilad Gour, Xin Wang +2
Magic states are essential for achieving universal quantum computation. This study introduces a reversible framework for the manipulation of magic states in odd dimensions, delinea…
Entanglement cost of discriminating quantum states under locality constraints
Chenghong Zhu, Chengkai Zhu, Zhiping Liu +1
The unique features of entanglement and non-locality in quantum systems, where there are pairs of bipartite states perfectly distinguishable by general entangled measurements yet i…
Reversible Entanglement Beyond Quantum Operations
Xin Wang, Yu-Ao Chen, Lei Zhang +1
We introduce a reversible theory of exact entanglement manipulation by establishing a necessary and sufficient condition for state transfer under trace-preserving transformations t…
Limitations of Classically-Simulable Measurements for Quantum State Discrimination
Chengkai Zhu, Zhiping Liu, Chenghong Zhu +1
In the realm of fault-tolerant quantum computing, stabilizer operations play a pivotal role, characterized by their remarkable efficiency in classical simulation. This efficiency s…
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao-kai Zhang, Chenghong Zhu, Mingrui Jing +1
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantu…
Efficient information recovery from Pauli noise via classical shadow
Yifei Chen, Zhan Yu, Chenghong Zhu +1
The rapid advancement of quantum computing has led to an extensive demand for effective techniques to extract classical information from quantum systems, particularly in fields lik…
Ground state preparation with shallow variational warm-start
Youle Wang, Chenghong Zhu, Mingrui Jing +1
Preparing the ground states of a many-body system is essential for evaluating physical quantities and determining the properties of materials. This work provides a quantum ground s…
Estimate distillable entanglement and quantum capacity by squeezing useless entanglement
Chengkai Zhu, Chenghong Zhu, Xin Wang
Quantum Internet relies on quantum entanglement as a fundamental resource for secure and efficient quantum communication, reshaping data transmission. In this context, entanglement…