Saved in:
| Main Authors: | Baker, Jack S., Park, Gilchan, Yu, Kwangmin, Ghukasyan, Ara, Goktas, Oktay, Radha, Santosh Kumar |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.05881 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures
by: Pandey, Tushar, et al.
Published: (2025)
by: Pandey, Tushar, et al.
Published: (2025)
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
by: Radha, Santosh Kumar, et al.
Published: (2024)
by: Radha, Santosh Kumar, et al.
Published: (2024)
Benchmarking quantum machine learning kernel training for classification tasks
by: Alvarez-Estevez, Diego
Published: (2024)
by: Alvarez-Estevez, Diego
Published: (2024)
Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix
by: Radha, Santosh Kumar, et al.
Published: (2026)
by: Radha, Santosh Kumar, et al.
Published: (2026)
UWM-JEPA: Predictive World Models That Imagine in Belief Space
by: Radha, Santosh Kumar, et al.
Published: (2026)
by: Radha, Santosh Kumar, et al.
Published: (2026)
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners
by: Radha, Santosh Kumar, et al.
Published: (2024)
by: Radha, Santosh Kumar, et al.
Published: (2024)
On the Reasoning Capacity of AI Models and How to Quantify It
by: Radha, Santosh Kumar, et al.
Published: (2025)
by: Radha, Santosh Kumar, et al.
Published: (2025)
Quantum machine learning for multiclass classification beyond kernel methods
by: Ding, Chao, et al.
Published: (2024)
by: Ding, Chao, et al.
Published: (2024)
Distributed quantum machine learning via classical communication
by: Hwang, Kiwmann, et al.
Published: (2024)
by: Hwang, Kiwmann, et al.
Published: (2024)
A Kerr kernel quantum learning machine
by: Wood, Carolyn, et al.
Published: (2024)
by: Wood, Carolyn, et al.
Published: (2024)
Quadratic speed-ups in quantum kernelized binary classification
by: Lee, Jungyun, et al.
Published: (2024)
by: Lee, Jungyun, et al.
Published: (2024)
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification
by: Vasques, Xavier, et al.
Published: (2025)
by: Vasques, Xavier, et al.
Published: (2025)
Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
by: Fellner, Tobias, et al.
Published: (2025)
by: Fellner, Tobias, et al.
Published: (2025)
Deep learning-based variational autoencoder for classification of quantum and classical states of light
by: Bhupati, Mahesh, et al.
Published: (2024)
by: Bhupati, Mahesh, et al.
Published: (2024)
Qiboml: towards the orchestration of quantum-classical machine learning
by: Robbiati, Matteo, et al.
Published: (2025)
by: Robbiati, Matteo, et al.
Published: (2025)
Global quantum phase estimation via hybrid quantum--classical learning
by: Yang, Qingchuan, et al.
Published: (2026)
by: Yang, Qingchuan, et al.
Published: (2026)
Parallelizing the stabilizer formalism for quantum machine learning applications
by: Hai, Vu Tuan, et al.
Published: (2025)
by: Hai, Vu Tuan, et al.
Published: (2025)
Optimal realization of Yang-Baxter gate on quantum computers
by: Zhang, Kun, et al.
Published: (2023)
by: Zhang, Kun, et al.
Published: (2023)
On the similarity of bandwidth-tuned quantum kernels and classical kernels
by: Flórez-Ablan, Roberto, et al.
Published: (2025)
by: Flórez-Ablan, Roberto, et al.
Published: (2025)
Quantum inference on a classically trained quantum extreme learning machine
by: Brusaschi, Emanuele, et al.
Published: (2026)
by: Brusaschi, Emanuele, et al.
Published: (2026)
Lean classical-quantum hybrid neural network model for image classification
by: Liu, Ao, et al.
Published: (2024)
by: Liu, Ao, et al.
Published: (2024)
A rigorous hybridization of variational quantum eigensolver and classical neural network
by: Kim, Minwoo, et al.
Published: (2026)
by: Kim, Minwoo, et al.
Published: (2026)
A general learning scheme for classical and quantum Ising machines
by: Schmid, Ludwig, et al.
Published: (2023)
by: Schmid, Ludwig, et al.
Published: (2023)
Train on classical, deploy on quantum: scaling generative quantum machine learning to a thousand qubits
by: Recio-Armengol, Erik, et al.
Published: (2025)
by: Recio-Armengol, Erik, et al.
Published: (2025)
Quantum and classical processing with photonic quantum machine learning
by: Carreño, J. C. López, et al.
Published: (2026)
by: Carreño, J. C. López, et al.
Published: (2026)
Enhanced image classification via hybridizing quantum dynamics with classical neural networks
by: Zhou, Ruiyang, et al.
Published: (2025)
by: Zhou, Ruiyang, et al.
Published: (2025)
Efficient time-series prediction on NISQ devices via time-delayed quantum extreme learning machine
by: Kawanabe, Mio, et al.
Published: (2026)
by: Kawanabe, Mio, et al.
Published: (2026)
Fourier series weight in quantum machine learning
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)
Quantum kernel and HHL-based support vector machines for multi-class classification
by: Pinheiro, Gabriela, et al.
Published: (2025)
by: Pinheiro, Gabriela, et al.
Published: (2025)
Equivalence between exponential concentration in quantum machine learning kernels and barren plateaus in variational algorithms
by: Kairon, Pranav, et al.
Published: (2025)
by: Kairon, Pranav, et al.
Published: (2025)
Satellite image classification with neural quantum kernels
by: Rodriguez-Grasa, Pablo, et al.
Published: (2024)
by: Rodriguez-Grasa, Pablo, et al.
Published: (2024)
Universal replication of chaotic characteristics by classical and quantum machine learning
by: Bai, Sheng-Chen, et al.
Published: (2024)
by: Bai, Sheng-Chen, et al.
Published: (2024)
A hybrid quantum-classical framework for computational fluid dynamics
by: Ye, Chuang-Chao, et al.
Published: (2024)
by: Ye, Chuang-Chao, et al.
Published: (2024)
On-board classification of underwater images using hybrid classical-quantum CNN based method
by: Warrier, Sreeraj Rajan, et al.
Published: (2024)
by: Warrier, Sreeraj Rajan, et al.
Published: (2024)
Three statistical descriptions of classical systems and their extensions to hybrid quantum-classical systems
by: Manjarres, Andrés Darío Bermúdez, et al.
Published: (2024)
by: Manjarres, Andrés Darío Bermúdez, et al.
Published: (2024)
Learning out-of-time-ordered correlators with classical kernel methods
by: Tanner, John, et al.
Published: (2024)
by: Tanner, John, et al.
Published: (2024)
The role of data-induced randomness in quantum machine learning classification tasks
by: Casas, Berta, et al.
Published: (2024)
by: Casas, Berta, et al.
Published: (2024)
A machine learning approach to tomographic pattern generation and classification of quantum states of light
by: Paul, Soumyabrata, et al.
Published: (2025)
by: Paul, Soumyabrata, et al.
Published: (2025)
Variational quantum state discriminator for supervised machine learning
by: Lee, Dongkeun, et al.
Published: (2023)
by: Lee, Dongkeun, et al.
Published: (2023)
Operational entanglement of collective quantum modes at room temperature
by: Singh, Shalender, et al.
Published: (2025)
by: Singh, Shalender, et al.
Published: (2025)
Similar Items
-
Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures
by: Pandey, Tushar, et al.
Published: (2025) -
Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
by: Radha, Santosh Kumar, et al.
Published: (2024) -
Benchmarking quantum machine learning kernel training for classification tasks
by: Alvarez-Estevez, Diego
Published: (2024) -
Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix
by: Radha, Santosh Kumar, et al.
Published: (2026) -
UWM-JEPA: Predictive World Models That Imagine in Belief Space
by: Radha, Santosh Kumar, et al.
Published: (2026)