An Example of the Difference Between Quantum and Classical Random Walks
Quantum Information Processing
Protein function prediction via graph kernels
Bioinformatics
Structural Matching Via Optimal Basis Graphs
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
A random walk kernel derived from graph edit distance
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Robust multi-body motion tracking using commute time clustering
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Coined quantum walks lift the cospectrality of graphs and trees
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Graph similarity using interfering quantum walks
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Graph embedding based on nodes attributes representatives and a graph of words representation
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Graph embedding for pattern recognition
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Graph embedding using constant shift embedding
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Two new graphs kernels in chemoinformatics
Pattern Recognition Letters
Approximate axial symmetries from continuous time quantum walks
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Analysis of the schrödinger operator in the context of graph characterization
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
Attributed graph similarity from the quantum jensen-shannon divergence
SIMBAD'13 Proceedings of the Second international conference on Similarity-Based Pattern Recognition
Hi-index | 0.00 |
In this paper, we explore analytically and experimentally the commute time of the continuous-time quantum walk. For the classical random walk, the commute time has been shown to be robust to errors in edge weight structure and to lead to spectral clustering algorithms with improved performance. Our analysis shows that the commute time of the continuous-time quantum walk can be determined via integrals of the Laplacian spectrum, calculated using Gauss-Laguerre quadrature. We analyse the quantum commute times with reference to their classical counterpart. Experimentally, we show that the quantum commute times can be used to emphasise cluster-structure.