QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
Fuente:
arXiv
Saved in:
| Main Authors: | Winker, Tobias, Groppe, Jinghua, Groppe, Sven |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
by: Franz, Maja, et al.
Published: (2024)
by: Franz, Maja, et al.
Published: (2024)
Opportunities and Challenges for Data Quality in the Era of Quantum Computing
by: Groppe, Sven, et al.
Published: (2025)
by: Groppe, Sven, et al.
Published: (2025)
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems
by: Çalıkyılmaz, Umut, et al.
Published: (2025)
by: Çalıkyılmaz, Umut, et al.
Published: (2025)
Variables are a Curse in Software Vulnerability Prediction
by: Groppe, Jinghua, et al.
Published: (2024)
by: Groppe, Jinghua, et al.
Published: (2024)
Automated Archival Descriptions with Federated Intelligence of LLMs
by: Groppe, Jinghua, et al.
Published: (2025)
by: Groppe, Jinghua, et al.
Published: (2025)
QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
by: Nayak, Nitin, et al.
Published: (2024)
by: Nayak, Nitin, et al.
Published: (2024)
A Lightweight Learned Cardinality Estimation Model
by: Zhu, Yaoyu, et al.
Published: (2025)
by: Zhu, Yaoyu, et al.
Published: (2025)
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
by: He, Chaowei, et al.
Published: (2025)
by: He, Chaowei, et al.
Published: (2025)
SQL2Circuits: Estimating Cardinalities, Execution Times, and Costs for SQL Queries with Quantum Natural Language Processing
by: Uotila, Valter
Published: (2023)
by: Uotila, Valter
Published: (2023)
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)
by: Schwabe, Tim, et al.
Published: (2023)
QuEst: Graph Transformer for Quantum Circuit Reliability Estimation
by: Wang, Hanrui, et al.
Published: (2022)
by: Wang, Hanrui, et al.
Published: (2022)
OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
by: Ieng, Frédéric, et al.
Published: (2026)
by: Ieng, Frédéric, et al.
Published: (2026)
Are Large Language Models the New Interface for Data Pipelines?
by: Junior, Sylvio Barbon, et al.
Published: (2024)
by: Junior, Sylvio Barbon, et al.
Published: (2024)
Rethink the Role of Neural Decoders in Quantum Error Correction
by: Yan, Ge, et al.
Published: (2026)
by: Yan, Ge, et al.
Published: (2026)
A Unified Hardware-to-Decoder Architecture for Hybrid Continuous-Variable and Discrete-Variable Quantum Error Correction in LiDMaS+
by: Wayo, Dennis Delali Kwesi, et al.
Published: (2026)
by: Wayo, Dennis Delali Kwesi, et al.
Published: (2026)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Interactive Ontology Matching with Cost-Efficient Learning
by: Cheng, Bin, et al.
Published: (2024)
by: Cheng, Bin, et al.
Published: (2024)
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)
by: Koschmider, Agnes, et al.
Published: (2023)
HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
by: He, Haoqi, et al.
Published: (2025)
by: He, Haoqi, et al.
Published: (2025)
Decoder Performance in Hybrid CV-Discrete Surface-Code Threshold Estimation Using LiDMaS+
by: Wayo, Dennis Delali Kwesi, et al.
Published: (2026)
by: Wayo, Dennis Delali Kwesi, et al.
Published: (2026)
Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing
by: Chen, Zhonghan, et al.
Published: (2026)
by: Chen, Zhonghan, et al.
Published: (2026)
ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)
by: Sheng, Yufan, et al.
Published: (2025)
CardOOD: Robust Query-driven Cardinality Estimation under Out-of-Distribution
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
Optimize Cardinality Estimation Model Pretraining by Simplifying the Training Datasets
by: Fang, Boyang
Published: (2025)
by: Fang, Boyang
Published: (2025)
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
by: Zeng, Tianjing, et al.
Published: (2024)
by: Zeng, Tianjing, et al.
Published: (2024)
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
by: Khorashadizadeh, Hanieh, et al.
Published: (2024)
by: Khorashadizadeh, Hanieh, et al.
Published: (2024)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Quantum Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)
by: Chen, Jin-Long, et al.
Published: (2026)
ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases -- No Data, No Query, No Retraining
by: Xu, Xianghong, et al.
Published: (2025)
by: Xu, Xianghong, et al.
Published: (2025)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)
by: Lin, Yu-Cheng, et al.
Published: (2025)
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)
Quantum Flow Matching
by: Cui, Zidong, et al.
Published: (2025)
by: Cui, Zidong, et al.
Published: (2025)
Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
CardBench: A Benchmark for Learned Cardinality Estimation in Relational Databases
by: Chronis, Yannis, et al.
Published: (2024)
by: Chronis, Yannis, et al.
Published: (2024)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)
by: Wang, Hanrui, et al.
Published: (2021)
The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)
by: Freinberger, Dominik, et al.
Published: (2026)
Similar Items
-
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
by: Franz, Maja, et al.
Published: (2024) -
Opportunities and Challenges for Data Quality in the Era of Quantum Computing
by: Groppe, Sven, et al.
Published: (2025) -
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems
by: Çalıkyılmaz, Umut, et al.
Published: (2025) -
Variables are a Curse in Software Vulnerability Prediction
by: Groppe, Jinghua, et al.
Published: (2024) -
Automated Archival Descriptions with Federated Intelligence of LLMs
by: Groppe, Jinghua, et al.
Published: (2025)