6 papers
Evolutionary Discovery of Bivariate Bicycle Codes with LLM-Guided Search
Juan Cruz-Benito, Andrew W. Cross, David Kremer +1
Quantum LDPC code discovery requires searching large algebraic design spaces while reliably certifying the parameters and equivalence classes of any candidates found. We introduce…
Qiskit QuantumKatas: Adapting Microsoft's Quantum Computing exercises for LLM evaluation
Juan Cruz-Benito, Ismael Faro
We adapt Microsoft's QuantumKatas -- a well-established quantum computing curriculum -- from Q# to Qiskit, the most widely-adopted quantum computing framework, and package it with…
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…
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…