1 citations · 1 across the 2 of their papers we have counts for
5 papers
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
Lucy Xing, Sanjay Vishwakarma, David Kremer +3
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 pr…
AI Methods for Permutation Circuit Synthesis Across Generic Topologies
Victor Villar, Juan Cruz-Benito, Ismael Faro +1
This paper investigates artificial intelligence (AI) methodologies for the synthesis and transpilation of permutation circuits across generic topologies. Our approach uses Reinforc…
Optimizing the non-Clifford-count in unitary synthesis using Reinforcement Learning
David Kremer, Ali Javadi-Abhari, Priyanka Mukhopadhyay
In this paper we study the potential of using reinforcement learning (RL) in order to synthesize quantum circuits, while optimizing the T-count and CS-count, of unitaries that are…
Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant
Nicolas Dupuis, Adarsh Tiwari, Youssef Mroueh +3
Qiskit is an open-source quantum computing framework that allows users to design, simulate, and run quantum circuits on real quantum hardware. We explore post-training techniques f…
Pauli Network Circuit Synthesis with Reinforcement Learning
Ayushi Dubal, David Kremer, Simon Martiel +3
We introduce a Reinforcement Learning (RL)-based method for re-synthesis of quantum circuits containing arbitrary Pauli rotations alongside Clifford operations. By collapsing each…