Multi-disk clutch optimization using quantum annealing
Fuente:
arXiv
Saved in:
| Main Authors: | Malcolm, John D., Roth, Alexander, Radic, Mladjan, Martin-Ramiro, Pablo, Oillarburu, Jon, Aizpurua, Borja, Orus, Roman, Mugel, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
by: Bermejo, Pablo, et al.
Published: (2023)
by: Bermejo, Pablo, et al.
Published: (2023)
Tensor Networks for Explainable Machine Learning in Cybersecurity
by: Aizpurua, Borja, et al.
Published: (2023)
by: Aizpurua, Borja, et al.
Published: (2023)
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
by: Aizpurua, Borja, et al.
Published: (2025)
by: Aizpurua, Borja, et al.
Published: (2025)
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
by: Martin-Ramiro, Pablo, et al.
Published: (2023)
by: Martin-Ramiro, Pablo, et al.
Published: (2023)
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
by: Aizpurua, Borja, et al.
Published: (2023)
by: Aizpurua, Borja, et al.
Published: (2023)
Quantum Large Language Models via Tensor Network Disentanglers
by: Aizpurua, Borja, et al.
Published: (2024)
by: Aizpurua, Borja, et al.
Published: (2024)
Hacking Cryptographic Protocols with Tensor Network Attacks
by: Aizpurua, Borja, et al.
Published: (2024)
by: Aizpurua, Borja, et al.
Published: (2024)
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
Only relative ranks matter in weight-clustered large language models
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
Quantum-Inspired Solver for Simulating Material Deformations
by: Ali, Mazen, et al.
Published: (2025)
by: Ali, Mazen, et al.
Published: (2025)
Multi-objective optimization by quantum annealing
by: King, Andrew D.
Published: (2025)
by: King, Andrew D.
Published: (2025)
Variational Quantum and Quantum-Inspired Clustering
by: Bermejo, Pablo, et al.
Published: (2022)
by: Bermejo, Pablo, et al.
Published: (2022)
Application of quantum annealing for scalable robotic assembly line optimization: a case study
by: Willmann, Moritz, et al.
Published: (2024)
by: Willmann, Moritz, et al.
Published: (2024)
Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
by: D'Amico, Luigi, et al.
Published: (2025)
by: D'Amico, Luigi, et al.
Published: (2025)
Encoding of Probability Distributions for Quantum Monte Carlo Using Tensor Networks
by: Pereira, Antonio, et al.
Published: (2024)
by: Pereira, Antonio, et al.
Published: (2024)
Synthetic Data Generation and Differential Privacy using Tensor Networks' Matrix Product States (MPS)
by: R., Alejandro Moreno, et al.
Published: (2025)
by: R., Alejandro Moreno, et al.
Published: (2025)
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
by: Tomut, Andrei, et al.
Published: (2024)
by: Tomut, Andrei, et al.
Published: (2024)
Block removal for large language models through constrained binary optimization
by: Jansen, David, et al.
Published: (2026)
by: Jansen, David, et al.
Published: (2026)
Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods
by: Oquendo, Alessandro Daniele Genuardi, et al.
Published: (2025)
by: Oquendo, Alessandro Daniele Genuardi, et al.
Published: (2025)
Robustness of optimal quantum annealing protocols
by: Funcke, Niklas, et al.
Published: (2024)
by: Funcke, Niklas, et al.
Published: (2024)
Experimental analysis of quantum annealers and hybrid solvers using benchmark optimization problems
by: Stogiannos, Evangelos, et al.
Published: (2022)
by: Stogiannos, Evangelos, et al.
Published: (2022)
Quantum ergodicity and scrambling in quantum annealers
by: Muñoz-Arias, Manuel H., et al.
Published: (2024)
by: Muñoz-Arias, Manuel H., et al.
Published: (2024)
Multi-tasking through quantum annealing
by: Artag, Jargalsaikhan, et al.
Published: (2026)
by: Artag, Jargalsaikhan, et al.
Published: (2026)
Variational Tensor Neural Networks for Deep Learning
by: Jahromi, Saeed S., et al.
Published: (2022)
by: Jahromi, Saeed S., et al.
Published: (2022)
How viable is quantum annealing for solving linear algebra problems?
by: Borle, Ajinkya, et al.
Published: (2022)
by: Borle, Ajinkya, et al.
Published: (2022)
Reverse quantum annealing assisted by forward annealing
by: Jattana, Manpreet Singh
Published: (2024)
by: Jattana, Manpreet Singh
Published: (2024)
Quantum artificial vision for defect detection in manufacturing
by: Guijo, Daniel, et al.
Published: (2022)
by: Guijo, Daniel, et al.
Published: (2022)
Utilizing intermediate states in quantum annealing for multi-objective optimization
by: Takahashi, Keita, et al.
Published: (2026)
by: Takahashi, Keita, et al.
Published: (2026)
Filtering out mislabeled training instances using black-box optimization and quantum annealing
by: Otsuka, Makoto, et al.
Published: (2025)
by: Otsuka, Makoto, et al.
Published: (2025)
Comparative analysis of diverse methodologies for portfolio optimization leveraging quantum annealing techniques
by: Tang, Zhijie, et al.
Published: (2024)
by: Tang, Zhijie, et al.
Published: (2024)
Boosting quantum annealing performance through direct polynomial unconstrained binary optimization
by: Nagies, Sebastian, et al.
Published: (2024)
by: Nagies, Sebastian, et al.
Published: (2024)
Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
by: Carreras, Abel, et al.
Published: (2025)
by: Carreras, Abel, et al.
Published: (2025)
Efficient tensor network simulation of IBM's largest quantum processors
by: Patra, Siddhartha, et al.
Published: (2023)
by: Patra, Siddhartha, et al.
Published: (2023)
Solving optimization problems with local light shift encoding on Rydberg quantum annealers
by: Goswami, Kapil, et al.
Published: (2023)
by: Goswami, Kapil, et al.
Published: (2023)
Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks
by: Hamreras, Safa, et al.
Published: (2025)
by: Hamreras, Safa, et al.
Published: (2025)
Box model of quantum annealing
by: Koh, Yang Wei, et al.
Published: (2026)
by: Koh, Yang Wei, et al.
Published: (2026)
Universal quantum computation using quantum annealing with the transverse-field Ising Hamiltonian
by: Imoto, Takashi, et al.
Published: (2024)
by: Imoto, Takashi, et al.
Published: (2024)
Micro-mobility dispatch optimization via quantum annealing incorporating historical data
by: Goto, Takeru, et al.
Published: (2026)
by: Goto, Takeru, et al.
Published: (2026)
Projected Entangled Pair States with flexible geometry
by: Patra, Siddhartha, et al.
Published: (2024)
by: Patra, Siddhartha, et al.
Published: (2024)
Empirical Study of Observable Sets in Multiclass Quantum Classification
by: Sebastian, Paul San, et al.
Published: (2026)
by: Sebastian, Paul San, et al.
Published: (2026)
Similar Items
-
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
by: Bermejo, Pablo, et al.
Published: (2023) -
Tensor Networks for Explainable Machine Learning in Cybersecurity
by: Aizpurua, Borja, et al.
Published: (2023) -
Classical Neural Networks on Quantum Devices via Tensor Network Disentanglers: A Case Study in Image Classification
by: Aizpurua, Borja, et al.
Published: (2025) -
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
by: Martin-Ramiro, Pablo, et al.
Published: (2023) -
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
by: Aizpurua, Borja, et al.
Published: (2023)