18 citations · 61 across the 6 of their papers we have counts for
4 papers · 1 filter
Adiabatic Quantum Kitchen Sinks for Learning Kernels Using Randomized Features
Moslem Noori, Seyed Shakib Vedaie, Inderpreet Singh +4
Quantum information processing is likely to have far-reaching impact in the field of artificial intelligence. While the race to build an error-corrected quantum computer is ongoing…
The Power of One Qubit in Machine Learning
Roohollah Ghobadi, Jaspreet S. Oberoi, Ehsan Zahedinejhad
Kernel methods are used extensively in classical machine learning, especially in the field of pattern analysis. In this paper, we propose a kernel-based quantum machine learning al…
A Quantum Annealing-Based Approach to Extreme Clustering
Tim Jaschek, Marko Bucyk, Jaspreet S. Oberoi
Clustering, or grouping, dataset elements based on similarity can be used not only to classify a dataset into a few categories, but also to approximate it by a relatively large num…
Multi-Community Detection in Signed Graphs Using Quantum Hardware
Ehsan Zahedinejad, Daniel Crawford, Clemens Adolphs +1
Signed graphs serve as a primary tool for modelling social networks. They can represent relationships between individuals (i.e., nodes) with the use of signed edges. Finding commun…