Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Hasegawa, Yasushi, Ohzeki, Masayuki |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Population Annealing as a Discrete-Time Schrödinger Bridge
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
by: Hasegawa, Yasushi, et al.
Published: (2025)
by: Hasegawa, Yasushi, et al.
Published: (2025)
Interpretation of Unfair Sampling in Quantum Annealing by Node Centrality
by: Maruyama, Naoki, et al.
Published: (2026)
by: Maruyama, Naoki, et al.
Published: (2026)
Hybrid Algorithm of Linear Programming Relaxation and Quantum Annealing
by: Takabayashi, Taisei, et al.
Published: (2023)
by: Takabayashi, Taisei, et al.
Published: (2023)
Uniformity Bias in Ground-State Sampling Induced by Replica Alignment in Quantum Monte Carlo for Quantum Annealing
by: Maruyama, Naoki, et al.
Published: (2025)
by: Maruyama, Naoki, et al.
Published: (2025)
Quantum generative model on bicycle-sharing system and an application
by: Nemoto, Fumio, et al.
Published: (2025)
by: Nemoto, Fumio, et al.
Published: (2025)
Subgradient Method using Quantum Annealing for Inequality-Constrained Binary Optimization Problems
by: Takabayashi, Taisei, et al.
Published: (2024)
by: Takabayashi, Taisei, et al.
Published: (2024)
Analytical Singular-Value Structure of Analytic-Continuation Kernels from Slepian Information Theory
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Statistical Mechanics Calculations Using Variational Autoregressive Networks and Quantum Annealing
by: Tamura, Yuta, et al.
Published: (2024)
by: Tamura, Yuta, et al.
Published: (2024)
Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization
by: Haba, Renichiro, et al.
Published: (2025)
by: Haba, Renichiro, et al.
Published: (2025)
Application of time-series quantum generative model to financial data
by: Okumura, Shun, et al.
Published: (2024)
by: Okumura, Shun, et al.
Published: (2024)
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)
Spectral Phase Encoding for Quantum Kernel Methods
by: Gómez, Pablo Herrero, et al.
Published: (2026)
by: Gómez, Pablo Herrero, et al.
Published: (2026)
Demonstration of a Compatibility-Based Childcare Support Service using Quantum Annealing
by: Matsumoto, Yuuma, et al.
Published: (2025)
by: Matsumoto, Yuuma, et al.
Published: (2025)
Optimization of Connection Patterns between Mobile Phones and Base Stations using Quantum Annealing
by: Takabayashi, Taisei, et al.
Published: (2024)
by: Takabayashi, Taisei, et al.
Published: (2024)
Minor Embedding for Quantum Annealing with Reinforcement Learning
by: Nembrini, Riccardo, et al.
Published: (2025)
by: Nembrini, Riccardo, et al.
Published: (2025)
Analyzing the Effectiveness of Quantum Annealing with Meta-Learning
by: Pellini, Riccardo, et al.
Published: (2024)
by: Pellini, Riccardo, et al.
Published: (2024)
Quantum State Recovery via Direct Sum Formalism Without Measurement Outcomes
by: Suzuki, Taiga, et al.
Published: (2025)
by: Suzuki, Taiga, et al.
Published: (2025)
Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)
by: Swaminathan, Arjhun, et al.
Published: (2024)
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
by: Incudini, Massimiliano, et al.
Published: (2022)
by: Incudini, Massimiliano, et al.
Published: (2022)
Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
by: Sabarad, Vivek, et al.
Published: (2024)
by: Sabarad, Vivek, et al.
Published: (2024)
Accelerating Extended Benders Decomposition with Quantum-Classical Hybrid Solver
by: Yoshihara, Takuma, et al.
Published: (2025)
by: Yoshihara, Takuma, et al.
Published: (2025)
Fourier Analysis of Parameterized Quantum Circuits and the Barren Plateau Problem
by: Okumura, Shun, et al.
Published: (2023)
by: Okumura, Shun, et al.
Published: (2023)
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
by: Tscharke, Kilian, et al.
Published: (2023)
by: Tscharke, Kilian, et al.
Published: (2023)
Adaptive Learning for Quantum Linear Regression
by: Carugno, Costantino, et al.
Published: (2024)
by: Carugno, Costantino, et al.
Published: (2024)
Quantum Generator Kernels
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
Efficient Construction of Feasible Solutions in Column Generation using Quantum Annealing
by: Takabayashi, Taisei, et al.
Published: (2025)
by: Takabayashi, Taisei, et al.
Published: (2025)
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
by: Evans, Ethan N., et al.
Published: (2024)
by: Evans, Ethan N., et al.
Published: (2024)
Spectral Bias in Variational Quantum Machine Learning
by: Duffy, Callum, et al.
Published: (2025)
by: Duffy, Callum, et al.
Published: (2025)
Benign Overfitting with Quantum Kernels
by: Tomasi, Joachim, et al.
Published: (2025)
by: Tomasi, Joachim, et al.
Published: (2025)
Quantum Annealing for Minimum Bisection Problem: A Machine Learning-based Approach for Penalty Parameter Tuning
by: Rusnáková, Renáta, et al.
Published: (2025)
by: Rusnáková, Renáta, et al.
Published: (2025)
Comparison of D-Wave Quantum Annealing and Markov Chain Monte Carlo for Sampling from a Probability Distribution of a Restricted Boltzmann Machine
by: Yazizi, Abdelmoula El, et al.
Published: (2025)
by: Yazizi, Abdelmoula El, et al.
Published: (2025)
QuaRK: A Quantum Reservoir Kernel for Time Series Learning
by: Aaraba, Abdallah, et al.
Published: (2026)
by: Aaraba, Abdallah, et al.
Published: (2026)
Quantum Annealing Feature Selection on Light-weight Medical Image Datasets
by: Nau, Merlin A., et al.
Published: (2025)
by: Nau, Merlin A., et al.
Published: (2025)
Quantum Adversarial Learning for Kernel Methods
by: Montalbano, Giuseppe, et al.
Published: (2024)
by: Montalbano, Giuseppe, et al.
Published: (2024)
A Minimal Duality Estimate for the Surface-Code Threshold under Nearest-Neighbor Correlated Errors
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
by: Kim, Gilhan, et al.
Published: (2026)
by: Kim, Gilhan, et al.
Published: (2026)
Reconsideration of optimization for reduction of traffic congestion
by: Ohzeki, Masayuki
Published: (2024)
by: Ohzeki, Masayuki
Published: (2024)
Similar Items
-
Population Annealing as a Discrete-Time Schrödinger Bridge
by: Ohzeki, Masayuki
Published: (2026) -
Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
by: Hasegawa, Yasushi, et al.
Published: (2025) -
Interpretation of Unfair Sampling in Quantum Annealing by Node Centrality
by: Maruyama, Naoki, et al.
Published: (2026) -
Hybrid Algorithm of Linear Programming Relaxation and Quantum Annealing
by: Takabayashi, Taisei, et al.
Published: (2023) -
Uniformity Bias in Ground-State Sampling Induced by Replica Alignment in Quantum Monte Carlo for Quantum Annealing
by: Maruyama, Naoki, et al.
Published: (2025)