13 papers
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…
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…
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…