:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Oh, Hyeondo, Park, Daniel K.
Formato:	Preprint
Publicado:	2023
Materias:	Quantum Physics
Acceso en línea:	https://arxiv.org/abs/2310.06375
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neural quantum support vector data description for one-class classification
por: Im, Changjae, et al.
Publicado: (2026)

Schmidt quantum compressor
por: Araujo, Israel F., et al.
Publicado: (2024)

Quantum multi-anomaly detection
por: Llorens, Santiago, et al.
Publicado: (2023)

Quantum similarity learning for anomaly detection
por: Hammad, A., et al.
Publicado: (2024)

Quantum-assisted anomaly detection with multivariate Gaussian distribution
por: Yu, Chao-Hua, et al.
Publicado: (2025)

Quantum support vector machines for aerodynamic classification
por: Yuan, Xi-Jun, et al.
Publicado: (2022)

Quantum machine learning algorithms for anomaly detection: A review
por: Corli, Sebastiano, et al.
Publicado: (2024)

Entanglement detection with quantum support vector machine(QSVM) on near-term quantum devices
por: Mahdian, M., et al.
Publicado: (2025)

Quantum density estimation with density matrices: Application to quantum anomaly detection
por: Useche, Diego H., et al.
Publicado: (2022)

Quantum Bayesian inference with Suport vector states for intrusion detection
por: Mridha, Nayema, et al.
Publicado: (2025)

Quantum kernel and HHL-based support vector machines for multi-class classification
por: Pinheiro, Gabriela, et al.
Publicado: (2025)

Quantum support vector machines for classification and regression on a trapped-ion quantum computer
por: Suzuki, Teppei, et al.
Publicado: (2023)

Quantum anomaly detection in the latent space of proton collision events at the LHC
por: Belis, Vasilis, et al.
Publicado: (2023)

Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
por: Kailasanathan, Rajiv, et al.
Publicado: (2025)

The complexity of quantum support vector machines
por: Gentinetta, Gian, et al.
Publicado: (2022)

Potential of multi-anomalies detection using quantum machine learning
por: Tomono, Takao, et al.
Publicado: (2025)

Generative Krylov Subspace Representations for Scalable Quantum Eigensolvers
por: Lee, Changwon, et al.
Publicado: (2025)

Improving Generalization and Trainability of Quantum Eigensolvers via Graph Neural Encoding
por: Lee, Jungyun, et al.
Publicado: (2026)

The role of data embedding in quantum autoencoders for improved anomaly detection
por: Araz, Jack Y., et al.
Publicado: (2024)

Generative Quantum Data Embeddings for Supervised Learning
por: Heo, Jaewoong, et al.
Publicado: (2026)

Understanding Generalization in Quantum Machine Learning with Margins
por: Hur, Tak, et al.
Publicado: (2024)

Schottky anomaly in a cavity-coupled double quantum well
por: Kozin, Valerii K., et al.
Publicado: (2025)

Optimal entanglement witness of multipartite systems using support vector machine approach
por: Mahdian, Mahmoud, et al.
Publicado: (2025)

Exploring an implementation of quantum learning pipeline for support vector machines
por: Bifulco, Mario, et al.
Publicado: (2025)

Matrix product state approach to lossy boson sampling and noisy IQP sampling
por: Park, Sojeong, et al.
Publicado: (2025)

Quantum anomaly for benchmarking quantum computing
por: Hayata, Tomoya, et al.
Publicado: (2026)

Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
por: Hur, Tak, et al.
Publicado: (2023)

Quantum-enhanced screened dark energy detection
por: Hartley, Daniel, et al.
Publicado: (2019)

Subsystem Statistics and Conditional Self-Similarity of Random Quantum States
por: Oh, Sangchul
Publicado: (2026)

Quantum-inspired classification via efficient simulation of Helstrom measurement
por: Hwang, Wooseop, et al.
Publicado: (2024)

Quantum simulation in the Heisenberg picture via vectorization
por: Chiew, Shao-Hen, et al.
Publicado: (2026)

Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
por: Kim, Gilhan, et al.
Publicado: (2026)

SMT-AD: a scalable quantum-inspired anomaly detection approach
por: Sornsaeng, Apimuk, et al.
Publicado: (2026)

Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
por: Lee, Changwon, et al.
Publicado: (2025)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
por: Rodríguez-Briones, Nayeli A., et al.
Publicado: (2025)

Boundary anomaly detection in two-dimensional subsystem symmetry-protected topological phases
por: Ding, Ke, et al.
Publicado: (2024)

Evolution and detection of vector superradiant instabilities
por: Guo, Yin-Da, et al.
Publicado: (2024)

Finite-size resource scaling for learning quantum phase transitions with fidelity-based support vector machines
por: Ali, Aaqib, et al.
Publicado: (2026)

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
por: Kim, Minsoo, et al.
Publicado: (2025)

Classical simulation of a quantum circuit with noisy magic inputs
por: Heo, Jiwon, et al.
Publicado: (2026)