BenchRL-QAS: Benchmarking reinforcement learning algorithms for quantum architecture search
Fuente:
arXiv
Saved in:
| Main Authors: | Ikhtiarudin, Azhar, Das, Aditi, Thakkar, Param, Kundu, Akash |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
by: Kundu, Akash, et al.
Published: (2025)
by: Kundu, Akash, et al.
Published: (2025)
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)
by: Kundu, Akash
Published: (2024)
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024)
by: Patel, Yash J., et al.
Published: (2024)
Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)
by: Grzesiak, Marek, et al.
Published: (2024)
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)
by: Kundu, Akash, et al.
Published: (2024)
Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware
by: Kundu, Akash
Published: (2025)
by: Kundu, Akash
Published: (2025)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
by: Kundu, Akash, et al.
Published: (2023)
by: Kundu, Akash, et al.
Published: (2023)
Bench360: Benchmarking Local LLM Inference from 360 Degrees
by: Stuhlmann, Linus, et al.
Published: (2025)
by: Stuhlmann, Linus, et al.
Published: (2025)
RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis
by: Bi, Zhen, et al.
Published: (2026)
by: Bi, Zhen, et al.
Published: (2026)
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system
by: Li, Zeyuan, et al.
Published: (2024)
by: Li, Zeyuan, et al.
Published: (2024)
Kevin: Multi-Turn RL for Generating CUDA Kernels
by: Baronio, Carlo, et al.
Published: (2025)
by: Baronio, Carlo, et al.
Published: (2025)
LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics
by: Liu, Jiashuo, et al.
Published: (2025)
by: Liu, Jiashuo, et al.
Published: (2025)
Replay-buffer engineering for noise-robust quantum circuit optimization
by: Kundu, Akash, et al.
Published: (2026)
by: Kundu, Akash, et al.
Published: (2026)
KernelBench: Can LLMs Write Efficient GPU Kernels?
by: Ouyang, Anne, et al.
Published: (2025)
by: Ouyang, Anne, et al.
Published: (2025)
CutQAS: Topology-aware quantum circuit cutting via reinforcement learning
by: Sadhu, Abhishek, et al.
Published: (2025)
by: Sadhu, Abhishek, et al.
Published: (2025)
Stochastic Q-learning for Large Discrete Action Spaces
by: Fourati, Fares, et al.
Published: (2024)
by: Fourati, Fares, et al.
Published: (2024)
Deep Learning for Low-Latency, Quantum-Ready RF Sensing
by: Gokhale, Pranav, et al.
Published: (2024)
by: Gokhale, Pranav, et al.
Published: (2024)
CirrusBench: Evaluating LLM-based Agents Beyond Correctness in Real-World Cloud Service Environments
by: Yu, Yi, et al.
Published: (2026)
by: Yu, Yi, et al.
Published: (2026)
An MLCommons Scientific Benchmarks Ontology
by: Hawks, Ben, et al.
Published: (2025)
by: Hawks, Ben, et al.
Published: (2025)
Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling
by: Patwari, Rajeev, et al.
Published: (2025)
by: Patwari, Rajeev, et al.
Published: (2025)
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
by: Thakkar, Param, et al.
Published: (2024)
by: Thakkar, Param, et al.
Published: (2024)
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)
by: Zheng, Wenhao, et al.
Published: (2025)
It's all about PR -- Smart Benchmarking AI Accelerators using Performance Representatives
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
by: Jung, Alexander Louis-Ferdinand, et al.
Published: (2024)
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
by: Zhao, Qihao, et al.
Published: (2024)
by: Zhao, Qihao, et al.
Published: (2024)
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
by: Gong, Jingzhi, et al.
Published: (2024)
by: Gong, Jingzhi, et al.
Published: (2024)
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making
by: Amujo, Oluyemi Enoch, et al.
Published: (2024)
by: Amujo, Oluyemi Enoch, et al.
Published: (2024)
Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities
by: Anurin, Andrey, et al.
Published: (2024)
by: Anurin, Andrey, et al.
Published: (2024)
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
by: Shao, Zishan, et al.
Published: (2025)
by: Shao, Zishan, et al.
Published: (2025)
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
by: Mozaffari, Mohammad, et al.
Published: (2024)
by: Mozaffari, Mohammad, et al.
Published: (2024)
Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-Design
by: Huang, Zixiao, et al.
Published: (2025)
by: Huang, Zixiao, et al.
Published: (2025)
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
by: Yun, Vincent-Daniel, et al.
Published: (2026)
by: Yun, Vincent-Daniel, et al.
Published: (2026)
Quantum Neural Networks for Wind Energy Forecasting: A Comparative Study of Performance and Scalability with Classical Models
by: Hangun, Batuhan, et al.
Published: (2025)
by: Hangun, Batuhan, et al.
Published: (2025)
Deploying Open-Source Large Language Models: A performance Analysis
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
by: Bendi-Ouis, Yannis, et al.
Published: (2024)
Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
by: Jiang, Jevin, et al.
Published: (2026)
by: Jiang, Jevin, et al.
Published: (2026)
Generalizing Scaling Laws for Dense and Sparse Large Language Models
by: Hossain, Md Arafat, et al.
Published: (2025)
by: Hossain, Md Arafat, et al.
Published: (2025)
Rapid Augmentations for Time Series (RATS): A High-Performance Library for Time Series Augmentation
by: Skaf, Wadie, et al.
Published: (2026)
by: Skaf, Wadie, et al.
Published: (2026)
GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping
by: Yin, Yishu, et al.
Published: (2025)
by: Yin, Yishu, et al.
Published: (2025)
The Hidden Power of Pure 16-bit Floating-Point Neural Networks
by: Yun, Juyoung, et al.
Published: (2023)
by: Yun, Juyoung, et al.
Published: (2023)
EXAQ: Exponent Aware Quantization For LLMs Acceleration
by: Shkolnik, Moran, et al.
Published: (2024)
by: Shkolnik, Moran, et al.
Published: (2024)
Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems
by: Zhao, Yushang, et al.
Published: (2025)
by: Zhao, Yushang, et al.
Published: (2025)
Similar Items
-
TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search
by: Kundu, Akash, et al.
Published: (2025) -
Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024) -
Curriculum reinforcement learning for quantum architecture search under hardware errors
by: Patel, Yash J., et al.
Published: (2024) -
Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024) -
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
by: Kundu, Akash, et al.
Published: (2024)