Advanced For-Loop for QML algorithm search
Fuente:
arXiv
Saved in:
| Main Author: | Wong, FuTe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Long Range Frequency Tuning for QML
by: Poppel, Michael, et al.
Published: (2026)
by: Poppel, Michael, et al.
Published: (2026)
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
by: Ahmad, Syed Farhan, et al.
Published: (2026)
by: Ahmad, Syed Farhan, et al.
Published: (2026)
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins
by: Zhang, Qingang, et al.
Published: (2026)
by: Zhang, Qingang, et al.
Published: (2026)
Task tree retrieval from FOON using search algorithms
by: Attapu, Amitha
Published: (2023)
by: Attapu, Amitha
Published: (2023)
Discovering new robust local search algorithms with neuro-evolution
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)
Research Re: search & Re-search
by: Plaat, Aske
Published: (2024)
by: Plaat, Aske
Published: (2024)
Study and improvement of search algorithms in two-players perfect information games
by: Cohen-Solal, Quentin
Published: (2025)
by: Cohen-Solal, Quentin
Published: (2025)
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)
by: Kundu, Akash
Published: (2024)
Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM
by: Haque, Mohd Ariful, et al.
Published: (2025)
by: Haque, Mohd Ariful, et al.
Published: (2025)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)
by: Yang, Hanqing, et al.
Published: (2024)
BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
by: Ikhtiarudin, Azhar, et al.
Published: (2025)
MindClaw: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
by: Zhang, Ruoxuan, et al.
Published: (2026)
by: Zhang, Ruoxuan, et al.
Published: (2026)
Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
by: Liu, Ziyang, et al.
Published: (2026)
by: Liu, Ziyang, et al.
Published: (2026)
Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems
by: Liu, Ruonan, et al.
Published: (2023)
by: Liu, Ruonan, et al.
Published: (2023)
Mixed variable structural optimization using mixed variable system Monte Carlo tree search formulation
by: Ko, Fu-Yao, et al.
Published: (2023)
by: Ko, Fu-Yao, et al.
Published: (2023)
Improved Monte Carlo tree search formulation with multiple root nodes for discrete sizing optimization of truss structures
by: Ko, Fu-Yao, et al.
Published: (2023)
by: Ko, Fu-Yao, et al.
Published: (2023)
LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention
by: Xu, Dongjie, et al.
Published: (2026)
by: Xu, Dongjie, et al.
Published: (2026)
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
by: Fu, Shi, et al.
Published: (2025)
by: Fu, Shi, et al.
Published: (2025)
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
by: Zhang, Beiqi, et al.
Published: (2024)
by: Zhang, Beiqi, et al.
Published: (2024)
Voices in the Loop: Mapping Participatory AI
by: Mushkani, Rashid
Published: (2026)
by: Mushkani, Rashid
Published: (2026)
Loop Neural Networks for Parameter Sharing
by: Ng, Kei-Sing, et al.
Published: (2024)
by: Ng, Kei-Sing, et al.
Published: (2024)
Financial Named Entity Recognition: How Far Can LLM Go?
by: Lu, Yi-Te, et al.
Published: (2025)
by: Lu, Yi-Te, et al.
Published: (2025)
From ChebNet to ChebGibbsNet
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning
by: Fu, Shaopeng, et al.
Published: (2026)
by: Fu, Shaopeng, et al.
Published: (2026)
Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search
by: Lee, Dongryung, et al.
Published: (2025)
by: Lee, Dongryung, et al.
Published: (2025)
Adobe Summit Concierge Evaluation with Human in the Loop
by: Chen, Yiru, et al.
Published: (2025)
by: Chen, Yiru, et al.
Published: (2025)
FLIRT: Feedback Loop In-context Red Teaming
by: Mehrabi, Ninareh, et al.
Published: (2023)
by: Mehrabi, Ninareh, et al.
Published: (2023)
LoopUS: Recasting Pretrained LLMs into Looped Latent Refinement Models
by: Park, Taekhyun, et al.
Published: (2026)
by: Park, Taekhyun, et al.
Published: (2026)
Selective Forgetting: Advancing Machine Unlearning Techniques and Evaluation in Language Models
by: Wang, Lingzhi, et al.
Published: (2024)
by: Wang, Lingzhi, et al.
Published: (2024)
To CoT or To Loop? A Formal Comparison Between Chain-of-Thought and Looped Transformers
by: Xu, Kevin, et al.
Published: (2025)
by: Xu, Kevin, et al.
Published: (2025)
Generative structure search for efficient and diverse discovery of molecular and crystal structures
by: Qin, Yifang, et al.
Published: (2026)
by: Qin, Yifang, et al.
Published: (2026)
Solver-Aided Expansion of Loops to Avoid Generate-and-Test
by: Dewally, Niklas, et al.
Published: (2025)
by: Dewally, Niklas, et al.
Published: (2025)
Hyacinth6B: A large language model for Traditional Chinese
by: Song, Chih-Wei, et al.
Published: (2024)
by: Song, Chih-Wei, et al.
Published: (2024)
Are Good Explainers Secretly Human-in-the-Loop Active Learners?
by: Nguyen, Emma Thuong, et al.
Published: (2023)
by: Nguyen, Emma Thuong, et al.
Published: (2023)
Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers
by: AbuGhanem, M.
Published: (2024)
by: AbuGhanem, M.
Published: (2024)
Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
by: Kim, Myung Ho
Published: (2025)
by: Kim, Myung Ho
Published: (2025)
Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
by: Zhuang, Xiang, et al.
Published: (2026)
by: Zhuang, Xiang, et al.
Published: (2026)
Taking the GP Out of the Loop
by: Bafna, Mehul, et al.
Published: (2025)
by: Bafna, Mehul, et al.
Published: (2025)
Stability and Generalization in Looped Transformers
by: Labovich, Asher
Published: (2026)
by: Labovich, Asher
Published: (2026)
Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2025)
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2025)
Similar Items
-
Long Range Frequency Tuning for QML
by: Poppel, Michael, et al.
Published: (2026) -
Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
by: Ahmad, Syed Farhan, et al.
Published: (2026) -
Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins
by: Zhang, Qingang, et al.
Published: (2026) -
Task tree retrieval from FOON using search algorithms
by: Attapu, Amitha
Published: (2023) -
Discovering new robust local search algorithms with neuro-evolution
by: Sakhri, Mohamed Salim Amri, et al.
Published: (2025)