Optimizing the non-Clifford-count in unitary synthesis using Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kremer, David, Javadi-Abhari, Ali, Mukhopadhyay, Priyanka |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
AI methods for approximate compiling of unitaries
by: Kremer, David, et al.
Published: (2024)
by: Kremer, David, et al.
Published: (2024)
Pauli Network Circuit Synthesis with Reinforcement Learning
by: Dubal, Ayushi, et al.
Published: (2025)
by: Dubal, Ayushi, et al.
Published: (2025)
Synthesizing Toffoli-optimal quantum circuits for arbitrary multi-qubit unitaries
by: Mukhopadhyay, Priyanka
Published: (2024)
by: Mukhopadhyay, Priyanka
Published: (2024)
Low-overhead error detection with spacetime codes
by: Martiel, Simon, et al.
Published: (2025)
by: Martiel, Simon, et al.
Published: (2025)
GeneCS: Synthesizing Resource-Efficient Code Surgery for Arbitrary Quantum Stabilizer Codes
by: Zhou, Junyu, et al.
Published: (2026)
by: Zhou, Junyu, et al.
Published: (2026)
Clifford+V synthesis for multi-qubit unitary gates
by: Yamazaki, Soichiro, et al.
Published: (2025)
by: Yamazaki, Soichiro, et al.
Published: (2025)
CNOT-Optimal Clifford Synthesis as SAT
by: Shaik, Irfansha, et al.
Published: (2025)
by: Shaik, Irfansha, 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)
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
by: Song, Xiaobin, et al.
Published: (2025)
by: Song, Xiaobin, et al.
Published: (2025)
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)
Transversal gates for probabilistic implementation of multi-qubit Pauli rotations
by: Yoshioka, Nobuyuki, et al.
Published: (2025)
by: Yoshioka, Nobuyuki, et al.
Published: (2025)
Bosehedral: Compiler Optimization for Bosonic Quantum Computing
by: Zhou, Junyu, et al.
Published: (2024)
by: Zhou, Junyu, et al.
Published: (2024)
Basic entanglement distillation with realistic noise
by: Siddhu, Vikesh, et al.
Published: (2025)
by: Siddhu, Vikesh, et al.
Published: (2025)
Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant
by: Dupuis, Nicolas, et al.
Published: (2025)
by: Dupuis, Nicolas, et al.
Published: (2025)
A quantum random access memory (QRAM) using a polynomial encoding of binary strings
by: Mukhopadhyay, Priyanka
Published: (2024)
by: Mukhopadhyay, Priyanka
Published: (2024)
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
by: Villar, Victor, et al.
Published: (2025)
by: Villar, Victor, et al.
Published: (2025)
Optimal ancilla-free Clifford+T synthesis for general single-qubit unitaries
by: Morisaki, Hayata, et al.
Published: (2025)
by: Morisaki, Hayata, et al.
Published: (2025)
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
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)
Qiskit Code Assistant: Training LLMs for generating Quantum Computing Code
by: Dupuis, Nicolas, et al.
Published: (2024)
by: Dupuis, Nicolas, et al.
Published: (2024)
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)
by: Chen, Kuan-Cheng, et al.
Published: (2024)
Optimal Hadamard gate count for Clifford$+T$ synthesis of Pauli rotations sequences
by: Vandaele, Vivien, et al.
Published: (2023)
by: Vandaele, Vivien, et al.
Published: (2023)
Big cats: entanglement in 120 qubits and beyond
by: Javadi-Abhari, Ali, et al.
Published: (2025)
by: Javadi-Abhari, Ali, et al.
Published: (2025)
Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Circuit Partitioning for Multi-Core Quantum Architectures with Deep Reinforcement Learning
by: Pastor, Arnau, et al.
Published: (2024)
by: Pastor, Arnau, et al.
Published: (2024)
Qiskit HumanEval: An Evaluation Benchmark For Quantum Code Generative Models
by: Vishwakarma, Sanjay, et al.
Published: (2024)
by: Vishwakarma, Sanjay, et al.
Published: (2024)
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, 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)
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
by: Nguyen, Kien X., et al.
Published: (2026)
by: Nguyen, Kien X., et al.
Published: (2026)
Quantum circuit synthesis with diffusion models
by: Fürrutter, Florian, et al.
Published: (2023)
by: Fürrutter, Florian, et al.
Published: (2023)
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)
by: Park, Junghoon Justin, et al.
Published: (2025)
Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
by: Bosco, Daniele Lizzio, et al.
Published: (2026)
by: Bosco, Daniele Lizzio, et al.
Published: (2026)
From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial
by: Sen, Abhijit, et al.
Published: (2026)
by: Sen, Abhijit, et al.
Published: (2026)
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
by: Qu, Songxin, et al.
Published: (2026)
by: Qu, Songxin, et al.
Published: (2026)
Reinforcement Learning Assisted Recursive QAOA
by: Patel, Yash J., et al.
Published: (2022)
by: Patel, Yash J., et al.
Published: (2022)
Flag Proxy Networks: Tackling the Architectural, Scheduling, and Decoding Obstacles of Quantum LDPC codes
by: Vittal, Suhas, et al.
Published: (2024)
by: Vittal, Suhas, et al.
Published: (2024)
Similar Items
-
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
by: Kremer, David, et al.
Published: (2024) -
AI methods for approximate compiling of unitaries
by: Kremer, David, et al.
Published: (2024) -
Pauli Network Circuit Synthesis with Reinforcement Learning
by: Dubal, Ayushi, et al.
Published: (2025) -
Synthesizing Toffoli-optimal quantum circuits for arbitrary multi-qubit unitaries
by: Mukhopadhyay, Priyanka
Published: (2024) -
Low-overhead error detection with spacetime codes
by: Martiel, Simon, et al.
Published: (2025)