2 citations · 5 across the 10 of their papers we have counts for
10 papers
Möbius-Guided Diagonal-Gate Compilation with Native Multiqubit Controlled-Phase Gates on Neutral-Atom Processors
Hairuo Huang, Yanwu Gu, Chen Huang +4
Diagonal gates are ubiquitous primitives in quantum algorithms, from phase oracles, hypergraph-state preparation, and multi-control logic to Hamiltonian simulation of spin models a…
Branch-resolved Pauli-block spectroscopy of residual conditional phase in two-qubit gates
Xudan Chai, Yanwu Gu, Huiqi Xue +2
Recent progress in quantum physics and quantum technologies is driving quantum computing from the noisy intermediate-scale (NISQ) era toward fault-tolerant operation. High-precisio…
Lazy-Move Compilation for Neutral-Atom Quantum Computers via a Buffer-Relay Fabric
Chen Huang, Jingbo Wang, Zhemin Zhang +5
Neutral atom quantum computing offers strong scalability and flexible qubit connectivity, but most existing compilation flows rely on reconfigurable atom arrays that physically shu…
Topology-Aware Block Coordinate Descent for Qubit Frequency Allocation of Superconducting Quantum Processors
Zheng Zhao, Weifeng Zhuang, Yanwu Gu +3
Pre-execution calibration is a major bottleneck for operating superconducting quantum processors, and qubit frequency allocation is especially challenging due to crosstalk-coupled…
Direct Nuclear-Level Qubits using Trapped Th-229 Ions: A Platform for Entanglement and Universal Quantum Information Processing
Jingbo Wang, Haixing Miao, Shiqian Ding +1
The low-energy isomeric transition in Thorium-229 offers a unique interface between nuclear and atomic physics, presenting a resource for quantum technologies that is notably resil…
Hierarchical Quantum Optimization via Backbone-Driven Problem Decomposition: Integrating Tabu-Search with QAOA
Minhui Gou, Zeyang Li, Hong-Ze Xu +6
As quantum computing advances, quantum approximate optimization algorithms (QAOA) have shown promise in addressing combinatorial optimization problems. However, the limitations of…
PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values
Yu-Xin Jin, Zi-Wei Wang, Hong-Ze Xu +3
Quantum machine learning (QML), which combines quantum computing with machine learning, is widely believed to hold the potential to outperform traditional machine learning in the e…
QSteed: A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors
Hong-Ze Xu, Zheng-An Wang, Yu-Long Feng +11
As quantum computing systems continue to scale up and become more clustered, efficiently compiling user quantum programs into high fidelity executable sequences on real hardware re…
ZAP: Zoned Architecture and Performant Compiler for Field Programmable Atom Array
Chen Huang, Xi Zhao, Hongze Xu +4
The scalability of neutral-atom quantum computing is increasingly limited by a compiler--architecture challenge: logical circuits must be mapped onto dynamically reconfigurable ato…
Quafu-Qcover: Explore Combinatorial Optimization Problems on Cloud-based Quantum Computers
BAQIS Quafu Group
We present Quafu-Qcover, an open-source cloud-based software package designed for combinatorial optimization problems that support both quantum simulators and hardware backends. Qu…