AI methods for approximate compiling of unitaries
Fuente:
arXiv
Saved in:
| Main Authors: | Kremer, David, Villar, Victor, Vishwakarma, Sanjay, Faro, Ismael, Cruz-Benito, Juan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
by: Villar, Victor, et al.
Published: (2025)
by: Villar, Victor, et al.
Published: (2025)
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
by: Xing, Lucy, et al.
Published: (2025)
by: Xing, Lucy, et al.
Published: (2025)
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
by: Kremer, David, et al.
Published: (2024)
by: Kremer, David, et al.
Published: (2024)
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code
by: Dupuis, Nicolas, et al.
Published: (2024)
by: Dupuis, Nicolas, et al.
Published: (2024)
Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
by: Cruz-Benito, Juan, et al.
Published: (2026)
by: Cruz-Benito, Juan, et al.
Published: (2026)
Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation
by: Cruz-Benito, Juan, et al.
Published: (2026)
by: Cruz-Benito, Juan, et al.
Published: (2026)
Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models
by: Vishwakarma, Sanjay, et al.
Published: (2024)
by: Vishwakarma, Sanjay, et al.
Published: (2024)
Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant
by: Dupuis, Nicolas, et al.
Published: (2025)
by: Dupuis, Nicolas, et al.
Published: (2025)
Pauli Network Circuit Synthesis with Reinforcement Learning
by: Dubal, Ayushi, et al.
Published: (2025)
by: Dubal, Ayushi, et al.
Published: (2025)
Optimizing the non-Clifford-count in unitary synthesis using Reinforcement Learning
by: Kremer, David, et al.
Published: (2025)
by: Kremer, David, et al.
Published: (2025)
QOPTLib: a Quantum Computing Oriented Benchmark for Combinatorial Optimization Problems
by: Osaba, Eneko, et al.
Published: (2024)
by: Osaba, Eneko, et al.
Published: (2024)
Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share
by: Osaba, Eneko, et al.
Published: (2025)
by: Osaba, Eneko, et al.
Published: (2025)
On the Transfer of Knowledge in Quantum Algorithms
by: Villar-Rodriguez, Esther, et al.
Published: (2025)
by: Villar-Rodriguez, Esther, et al.
Published: (2025)
Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)
Benchmarking data encoding methods in Quantum Machine Learning
by: Zang, Orlane, et al.
Published: (2025)
by: Zang, Orlane, et al.
Published: (2025)
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
by: Romero, Sebastián V., et al.
Published: (2023)
by: Romero, Sebastián V., et al.
Published: (2023)
AI-Powered Algorithm-Centric Quantum Processor Topology Design
by: Li, Tian, et al.
Published: (2024)
by: Li, Tian, et al.
Published: (2024)
Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering
by: Kadowaki, Tadashi
Published: (2025)
by: Kadowaki, Tadashi
Published: (2025)
Optimal partition of feature using Bayesian classifier
by: Vishwakarma, Sanjay, et al.
Published: (2023)
by: Vishwakarma, Sanjay, et al.
Published: (2023)
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
by: Bhatia, Amandeep Singh, et al.
Published: (2024)
by: Bhatia, Amandeep Singh, et al.
Published: (2024)
Quantum Sidecar Architectures for Hybrid AI Training and Inference: Stateful Protected Registers, Stateless Reset-and-Reprepare Circuits and Quantum Weight-State Outlook
by: Mo, Y., et al.
Published: (2026)
by: Mo, Y., et al.
Published: (2026)
SAQ: Stabilizer-Aware Quantum Error Correction Decoder
by: Zenati, David, et al.
Published: (2025)
by: Zenati, David, et al.
Published: (2025)
Optimal approximation to unitary quantum operators with linear optics
by: Garcia-Escartin, Juan Carlos, et al.
Published: (2020)
by: Garcia-Escartin, Juan Carlos, et al.
Published: (2020)
Qvine: Vine Structured Quantum Circuits for Loading High Dimensional Distributions
by: Quiroga, David, et al.
Published: (2026)
by: Quiroga, David, et al.
Published: (2026)
A quantum system control method based on enhanced reinforcement learning
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Quantum Adiabatic Generation of Human-Like Passwords
by: Mücke, Sascha, et al.
Published: (2025)
by: Mücke, Sascha, et al.
Published: (2025)
Towards a Comparative Framework for Compositional AI Models
by: Duneau, Tiffany
Published: (2025)
by: Duneau, Tiffany
Published: (2025)
Efficient decomposition of unitary matrices in quantum circuit compilers
by: Krol, A. M., et al.
Published: (2021)
by: Krol, A. M., et al.
Published: (2021)
A Shapley Value Estimation Speedup for Efficient Explainable Quantum AI
by: Burge, Iain, et al.
Published: (2024)
by: Burge, Iain, et al.
Published: (2024)
Automated near-term quantum algorithm discovery for molecular ground states
by: Finger, Fabian, et al.
Published: (2026)
by: Finger, Fabian, et al.
Published: (2026)
Anubuddhi: A Multi-Agent AI System for Designing and Simulating Quantum Optics Experiments
by: Rithvik, S. K.
Published: (2025)
by: Rithvik, S. K.
Published: (2025)
GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication
by: Arfeto, Brian E., et al.
Published: (2025)
by: Arfeto, Brian E., et al.
Published: (2025)
Comment on arXiv:2511.21731v1: Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition
by: Sienicki, Krzysztof
Published: (2026)
by: Sienicki, Krzysztof
Published: (2026)
Identification and Mitigating Bias in Quantum Machine Learning
by: Swaminathan, Nandhini, et al.
Published: (2024)
by: Swaminathan, Nandhini, et al.
Published: (2024)
Agentic Exploration of Physics Models
by: Nägele, Maximilian, et al.
Published: (2025)
by: Nägele, Maximilian, et al.
Published: (2025)
A Hybrid Quantum Neural Network for Split Learning
by: Cowlessur, Hevish, et al.
Published: (2024)
by: Cowlessur, Hevish, et al.
Published: (2024)
A technical note for the 91-clauses SAT resolution with Indirect QAOA based approach
by: Fleury, Gerard, et al.
Published: (2024)
by: Fleury, Gerard, et al.
Published: (2024)
Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
by: Russo, Enrico, et al.
Published: (2024)
by: Russo, Enrico, et al.
Published: (2024)
OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines
by: Silver, Daniel, et al.
Published: (2024)
by: Silver, Daniel, et al.
Published: (2024)
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)
by: Qi, Jun, et al.
Published: (2024)
Similar Items
-
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
by: Villar, Victor, et al.
Published: (2025) -
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
by: Xing, Lucy, et al.
Published: (2025) -
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
by: Kremer, David, et al.
Published: (2024) -
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code
by: Dupuis, Nicolas, et al.
Published: (2024) -
Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
by: Cruz-Benito, Juan, et al.
Published: (2026)