Cover Image

Quantum Time Series Similarity Measures and Quantum Temporal Kernels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Markov, Vanio, Rastunkov, Vladimir, Fry, Daniel
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implementation and Learning of Quantum Hidden Markov Models
by: Markov, Vanio, et al.
Published: (2022)

QuaRK: A Quantum Reservoir Kernel for Time Series Learning
by: Aaraba, Abdallah, et al.
Published: (2026)

Reorganizing Quantum Measurement Records Improves Time-Series Prediction
by: Baumann, Markus, et al.
Published: (2026)

Compare Similarities Between DNA Sequences Using Permutation-Invariant Quantum Kernel
by: Shi, Chenyu, et al.
Published: (2025)

Quantum Optics based Algorithm for Measuring the Similarity between Images
by: Mehta, Vivek, et al.
Published: (2023)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

A Programmable Linear Optical Quantum Reservoir with Measurement Feedback for Time Series Analysis
by: Ekici, Çağın
Published: (2026)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)

Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement
by: Khan, Saeed A., et al.
Published: (2023)

Certified Quantumness via Single-Shot Temporal Measurements
by: Ali, Md Manirul, et al.
Published: (2022)

Quantum Classifiers with Trainable Kernel
by: Xu, Li, et al.
Published: (2025)

Kernelized Decoded Quantum Interferometry
by: Wang, Fumin
Published: (2025)

Temporal Framework for Causality-Preserving Scheduling of Measurements in Quantum Networks
by: Søndergaard, Jakob Kaltoft, et al.
Published: (2026)

Quantum Persistent Homology for Time Series
by: Ameneyro, Bernardo, et al.
Published: (2022)

Learning Temporal Patterns in Financial Time Series: A Comparative Study of Quantum LSTM and Quantum Reservoir Computing
by: Maheshwari, Danyal, et al.
Published: (2026)

(Un)physical consequences of "Quantum Measurements of Time"
by: Cavendish, Will, et al.
Published: (2024)

Quantum Spectral Clustering: Comparing Parameterized and Neuromorphic Quantum Kernels
by: Slabbert, Donovan, et al.
Published: (2025)

Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
by: Incudini, Massimiliano, et al.
Published: (2022)

Quantum Measurements of Time: A reply to criticisms
by: Maccone, Lorenzo, et al.
Published: (2025)

Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)

Quantum-Efficient Kernel Target Alignment
by: Coelho, Rodrigo, et al.
Published: (2025)

Power Characterization of Noisy Quantum Kernels
by: Wang, Yabo, et al.
Published: (2024)

Completeness Stability of Quantum Measurements
by: Saini, Rakesh, et al.
Published: (2025)

Certifying Quantum Temporal Correlation via Randomized Measurements: Theory and Experiment
by: Liu, Hongfeng, et al.
Published: (2024)

Quantum Neural Network Architectures for Multivariate Time-Series Forecasting
by: Ranilla-Cortina, Sandra, et al.
Published: (2025)

Hybrid Photonic-Quantum Reservoir Computing For Time-Series Prediction
by: Kar, Oishik, et al.
Published: (2025)

Entanglement Detection with Quantum-inspired Kernels and SVMs
by: Martínez-Sabiote, Ana, et al.
Published: (2025)

Optimal Distributed Similarity Estimation of Quantum Channels
by: Zheng, Congcong, et al.
Published: (2025)

First Passage Times for Continuous Quantum Measurement Currents
by: Kewming, Michael J., et al.
Published: (2023)

Benign Overfitting with Quantum Kernels
by: Tomasi, Joachim, et al.
Published: (2025)

Conservation Laws For Every Quantum Measurement Outcome
by: Collins, Daniel, et al.
Published: (2024)

Double Descent in Quantum Kernel Ridge Regression
by: Kamisoyama, Kensuke, et al.
Published: (2026)

Quantum Kernel Machine Learning With Continuous Variables
by: Henderson, Laura J., et al.
Published: (2024)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
by: Viqueira, José Daniel, et al.
Published: (2023)

Unraveling the Mystery of Quantum Measurement with A New Space-Time Approach to Relativistic Quantum Mechanics
by: Wen, Wei
Published: (2023)

Quantum Measurement for Quantum Chemistry on a Quantum Computer
by: Patel, Smik, et al.
Published: (2025)

Quantum Measurement Encoding for Quantum Metrology
by: Yang, Jing
Published: (2024)

A Graph-Theoretic Approach to Quantum Measurement Incompatibility
by: McNulty, Daniel
Published: (2025)

Exploring Hybrid Quantum-Classical Methods for Practical Time-Series Forecasting
by: Dimitrijevs, Maksims, et al.
Published: (2024)