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- Centre for Quantum Computation and Communication TechnologyAU35 papers
- Australian Research CouncilAU22 papers
- The University of QueenslandAU19 papers
- Australian National UniversityAU9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- UNSW SydneyAU7 papers
- Macquarie UniversityAU6 papers
- University of OxfordGB6 papers
- Monash UniversityAU5 papers
- The University of TokyoJP5 papers
- Université de LorraineFR5 papers
- University College LondonGB5 papers
12 papers · 1 filter
Patchy Image Structure Classification Using Multi-Orientation Region Transform
Xiaohan Yu, Yang Zhao, Yongsheng Gao +2
Exterior contour and interior structure are both vital features for classifying objects. However, most of the existing methods consider exterior contour feature and internal struct…
Feasibility study of a coherent feedback squeezer
Shota Yokoyama, Daniel Peace, Warit Asavanant +6
We investigate a coherent feedback squeezer that uses quantum coherent feedback (measurement-free) control. Our squeezer is simple, easy to implement, robust to the gain fluctuatio…
On Node Features for Graph Neural Networks
Chi Thang Duong, Thanh Dat Hoang, Ha The Hien Dang +2
Graph neural network (GNN) is a deep model for graph representation learning. One advantage of graph neural network is its ability to incorporate node features into the learning pr…
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images
Bin Wang, Yongsheng Gao, Xiaohan Yu +3
Leaf image recognition techniques have been actively researched for plant species identification. However it remains unclear whether leaf patterns can provide sufficient informatio…
Interfering trajectories in experimental quantum-enhanced stochastic simulation
Farzad Ghafari, Nora Tischler, Carlo Di Franco +3
Simulations of stochastic processes play an important role in the quantitative sciences, enabling the characterisation of complex systems. Recent work has established a quantum adv…
Bridging molecular dynamics and correlated wave-function methods for accurate finite-temperature properties
Dario Rocca, Anant Dixit, Michael Badawi +3
We introduce the "selPT" perturbative approach, based on ab initio molecular dynamics (AIMD), for computing accurate finite-temperature properties by efficiently using correlated w…