Copertina

Machine Failure Detection Based on Projected Quantum Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bowden, Larry, Chu, Qi, Cena, Bernard, Ohno, Kentaro, Parney, Bob, Sharma, Deepak, Takeori, Mitsuharu
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Quantum Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unlocking the Power of Boltzmann Machines by Parallelizable Sampler and Efficient Temperature Estimation
di: Kubo, Kentaro, et al.
Pubblicazione: (2025)

Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities
di: Qi, Jiaxing, et al.
Pubblicazione: (2024)

Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
di: Sharma, Diksha, et al.
Pubblicazione: (2024)

Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
di: Onim, Md. Saif Hassan, et al.
Pubblicazione: (2025)

Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM
di: Strauss, Joseph, et al.
Pubblicazione: (2026)

Distributed and Secure Kernel-Based Quantum Machine Learning
di: Swaminathan, Arjhun, et al.
Pubblicazione: (2024)

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
di: Chen, Chuangtao, et al.
Pubblicazione: (2024)

Quantum Hybrid Support Vector Machines for Stress Detection in Older Adults
di: Onim, Md Saif Hassan, et al.
Pubblicazione: (2025)

VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
di: Qi, Jun, et al.
Pubblicazione: (2025)

Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis
di: Maouaki, Walid El, et al.
Pubblicazione: (2024)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
di: Fan, Fan, et al.
Pubblicazione: (2026)

Efficient Mutation Testing of Quantum Machine Learning Models
di: Andrews, Emma, et al.
Pubblicazione: (2026)

Benchmarking Machine Learning Models for Quantum Error Correction
di: Zhao, Yue
Pubblicazione: (2023)

Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
di: Haug, Tobias, et al.
Pubblicazione: (2023)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
di: Alami, Mansour El, et al.
Pubblicazione: (2024)

Mitigating Precision Errors in Quantum Annealing via Coefficient Reduction of Embedded Hamiltonians
di: Ohno, Kentaro, et al.
Pubblicazione: (2026)

Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
di: Alidaee, Bahram, et al.
Pubblicazione: (2024)

QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines
di: Fu, Zhenxiao, et al.
Pubblicazione: (2024)

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
di: Qi, Jun, et al.
Pubblicazione: (2023)

Quantum Machine Learning: Quantum Kernel Methods
di: Naguleswaran, Sanjeev
Pubblicazione: (2024)

On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
di: Tao, Han-Xiao, et al.
Pubblicazione: (2025)

Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
di: Alagiyawanna, A. M. A. S. D., et al.
Pubblicazione: (2026)

Quantum Dynamics of Machine Learning
di: Wang, Peng, et al.
Pubblicazione: (2024)

Quantum Scrambling Born Machine
di: Płodzień, Marcin
Pubblicazione: (2026)

Quantum Algorithms for Projection-Free Sparse Convex Optimization
di: He, Jianhao, et al.
Pubblicazione: (2025)

Quantum Machine Learning for Anomaly Detection in Consumer Electronics
di: Bhowmik, Sounak, et al.
Pubblicazione: (2024)

Quantum Feature Pyramid Gating for Seismic Image Segmentation
di: Gharaibeh, Taha, et al.
Pubblicazione: (2026)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
di: Shinde, Aakash Ravindra, et al.
Pubblicazione: (2025)

Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
di: Rababah, Bara, et al.
Pubblicazione: (2025)

Multiple Embeddings for Quantum Machine Learning
di: Han, Siyu, et al.
Pubblicazione: (2025)

Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
di: Chandrasekhar, Swathi, et al.
Pubblicazione: (2025)

LLM-Guided Ansätze Design for Quantum Circuit Born Machines in Financial Generative Modeling
di: Gujju, Yaswitha, et al.
Pubblicazione: (2025)

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
di: Liu, Chen-Yu, et al.
Pubblicazione: (2025)

Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
di: Tran, Quoc Hoan, et al.
Pubblicazione: (2026)

Machine Learning for Practical Quantum Error Mitigation
di: Liao, Haoran, et al.
Pubblicazione: (2023)

Distribution-Guided and Constrained Quantum Machine Unlearning
di: Malik, Nausherwan, et al.
Pubblicazione: (2026)

Entangling Machine Learning with Quantum Tensor Networks
di: van der Poel, Constantijn, et al.
Pubblicazione: (2024)

Limitations of Quantum Advantage in Unsupervised Machine Learning
di: Patel, Apoorva D.
Pubblicazione: (2025)

Probabilistic Quantum SVM Training on Ising Machine
di: He, Haoqi, et al.
Pubblicazione: (2025)

Prospects of Privacy Advantage in Quantum Machine Learning
di: Heredge, Jamie, et al.
Pubblicazione: (2024)