Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems
D Willsch, M Willsch, CD Gonzalez Calaza… - Quantum Information …, 2022 - Springer
We benchmark the quantum processing units of the largest quantum annealers to date, the
5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q …
5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q …
[HTML][HTML] GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm
D Willsch, M Willsch, F **, K Michielsen… - Computer physics …, 2022 - Elsevier
We study large-scale applications using a GPU-accelerated version of the massively parallel
Jülich universal quantum computer simulator (JUQCS–G). First, we benchmark JUWELS …
Jülich universal quantum computer simulator (JUQCS–G). First, we benchmark JUWELS …
Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation
Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous
high-performance computing architectures. It is projected that the next major leap in many …
high-performance computing architectures. It is projected that the next major leap in many …
[PDF][PDF] Quantum machine learning and cybersecurity
J Shara - Quantum, 2023 - academia.edu
The idea of quantum computers was developed by Richard Feynman and Yuri Manin.
Quantum computation is a computational model which is based on the laws of quantum …
Quantum computation is a computational model which is based on the laws of quantum …
Quantum Approaches for Medoid Clustering
T Sijpesteijn, F Phillipson - International Conference on Innovations for …, 2023 - Springer
The k-medoids problem is an important problem in data clustering, which aims to partition a
set of data points into k clusters, where each cluster is represented by a medoid, ie, a data …
set of data points into k clusters, where each cluster is represented by a medoid, ie, a data …
Improving User Environment Detection Using Context-aware Multi-Task Deep Learning in Mobile Networks
Cognition of user behavior can make future mobile networks more intelligent and flexible.
Knowledge about users' habits can be used to personalize services and intelligently …
Knowledge about users' habits can be used to personalize services and intelligently …
Development of a classification architecture for images represented using Quantum theory:* using ibm qiskit liberaries
Quantum image processing is paramount in image processing-based research areas
nowadays due to the less computational time. This paper presents the quantum mechanic …
nowadays due to the less computational time. This paper presents the quantum mechanic …
Review of Applications of Quantum Computing in Power Flow Calculation
YE Jang, NY Kim, YJ Kim - Journal of Electrical Engineering & Technology, 2024 - Springer
The proliferation of distributed energy resources has increased the complexity of power
system analysis and operation. To address the complexity, various algorithms have been …
system analysis and operation. To address the complexity, various algorithms have been …
A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms
Quantum image processing is a significant branch of Quantum computing and is widely
used in various industrial and research-based applications. Quantum image processing …
used in various industrial and research-based applications. Quantum image processing …
Indoor-outdoor detection using time series classification and user behavioral cognition
During the last decades, different studies highlighted the benefits of acquiring channel state
cognition based on the environmental context of mobile users or devices. Thanks to this …
cognition based on the environmental context of mobile users or devices. Thanks to this …