Routing quantum circuits using machine learning
A method, computer program product, and system for routing quantum circuits. A structure of a quantum circuit to route is encoded in an environment using a reinforcement learning …
daniel-josef-egger
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1 min read
We Got AI Agents to Train RL Models for Quantum Transpilation
A new MCP server that enables AI agents to autonomously train reinforcement learning models for quantum circuit synthesis - including permutation, linear function, and Clifford …
Intelligent and automated system for solving computational problems using quantum computation
A computer-implemented system with machine learning capabilities designed to address quantum computing challenges. The system's recommendation component employs a machine learning …
juan-cruz-benito
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
This paper investigates artificial intelligence (AI) methodologies for the synthesis and transpilation of permutation circuits across generic topologies. Our approach uses …
victor-villar
Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant
Released a new paper on a novel approach to train AI models that can write better quantum code using Qiskit. The approach uses quantum verification at the core, smart training …
Quantum Processing Unit (QPU) Processing Time Prediction with Machine Learning
This paper explores the application of machine learning (ML) techniques in predicting the QPU processing time of quantum jobs. By leveraging ML algorithms, this study introduces …
lucy-xing
Pauli Network Circuit Synthesis with Reinforcement Learning
We introduce a Reinforcement Learning (RL)-based method for re-synthesis of quantum circuits containing arbitrary Pauli rotations alongside Clifford operations. By collapsing each …
ayushi-dubal
AI methods for approximate compiling of unitaries
This paper explores artificial intelligence (AI) methods for the approximate compiling of unitaries, focusing on the use of fixed two-qubit gates and arbitrary single-qubit …
david-kremer
Comparing Natural Language Processing and Quantum NLP: Research Published
Published peer-reviewed research comparing classical and quantum approaches to natural language processing in Expert Systems with Applications. Demonstrated that quantum NLP models …
Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning
This paper demonstrates the integration of Reinforcement Learning (RL) into quantum transpiling workflows, significantly enhancing the synthesis and routing of quantum circuits. By …
david-kremer