research
∙
04/15/2023
Learning To Optimize Quantum Neural Network Without Gradients
Quantum Machine Learning is an emerging sub-field in machine learning wh...
share
research
∙
10/18/2022
Towards Practical Explainability with Cluster Descriptors
With the rapid development of machine learning, improving its explainabi...
research
∙
10/17/2020
Binary Matrix Factorization on Special Purpose Hardware
Many fundamental problems in data mining can be reduced to one or more N...
research
∙
03/04/2020
Ising-based Consensus Clustering on Specialized Hardware
The emergence of specialized optimization hardware such as CMOS annealer...
research
∙
01/02/2020
Compressed Quadratization of Higher Order Binary Optimization Problems
Recent hardware advances in quantum and quantum-inspired annealers promi...
research
∙
11/22/2019
On Modeling Local Search with Special-Purpose Combinatorial Optimization Hardware
Many combinatorial scientific computing problems are NP-hard which in pr...
research
∙
10/22/2019
Multilevel Combinatorial Optimization Across Quantum Architectures
Emerging quantum processors provide an opportunity to explore new approa...
research
∙
02/18/2019
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
We present a topology-based method for mesh-partitioning in three-dimens...
research
∙
01/28/2019
Detecting Multiple Communities Using Quantum Annealing on the D-Wave System
A very important problem in combinatorial optimization is partitioning a...
research
∙
10/01/2018
Community Detection Across Emerging Quantum Architectures
One of the roadmap plans for quantum computers is an integration within ...
research
∙
05/04/2017
