1.1k citations
- University of Science and Technology of ChinaCN55 papers
- Hefei National Center for Physical Sciences at NanoscaleCN11 papers
- Chinese Academy of SciencesCN10 papers
- Jinan Institute of Quantum TechnologyCN7 papers
- CAS Key Laboratory of Urban Pollutant ConversionCN6 papers
- Shanghai Institute of Microsystem and Information TechnologyCN6 papers
- Tsinghua UniversityCN6 papers
- Hefei UniversityCN5 papers
- Peking UniversityCN5 papers
- Anhui UniversityCN4 papers
- Beijing Academy of Quantum Information SciencesCN4 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN4 papers
6 papers · 1 filter
Single-Layer Digitized-Counterdiabatic Quantum Optimization for -spin Models
Huijie Guan, Fei Zhou, Francisco Albarrán-Arriagada +4
Quantum computing holds the potential for quantum advantage in optimization problems, which requires advances in quantum algorithms and hardware specifications. Adiabatic quantum o…
Quantum Hamiltonian Algorithms for Maximum Independent Sets
Xianjue Zhao, Peiyun Ge, Hongye Yu +3
With qubits encoded into atomic ground and Rydberg states and situated on the vertexes of a graph, the conditional quantum dynamics of Rydberg blockade, which inhibits simultaneous…
The effects of disorder in superconducting materials on qubit coherence
Ran Gao, Feng Wu, Hantao Sun +13
Introducing disorderness in the superconducting materials has been considered promising to enhance the electromagnetic impedance and realize noise-resilient superconducting qubits.…
Low-data deep quantum chemical learning for accurate MP2 and coupled-cluster correlations
Wai-Pan Ng, Qiujiang Liang, Jun Yang
Accurate ab-initio prediction of electronic energies is very expensive for macromolecules by explicitly solving post-Hartree-Fock equations. We here exploit the physically justifie…
Pressure-induced transition from a Mott insulator to a ferromagnetic Weyl metal in La2O3Fe2Se2
Ye Yang, Fanghang Yu, Xikai Wen +6
The insulator-metal transition in Mott insulators, known as the Mott transition, is usually accompanied with various novel quantum phenomena, such as unconventional superconductivi…
Predictions of photophysical properties of phosphorescent platinum(II) complexes based on ensemble machine learning approach
Shuai Wang, ChiYung Yam, Shuguang Chen +6
Phosphorescent metal complexes have been under intense investigations as emissive dopants for energy efficient organic light emitting diodes (OLEDs). Among them, cyclometalated Pt(…