9 papers
Aligning Quantum Operators with Large Language Models
Rogerio Feris, Yunchao Liu, Pengyuan Li +2
Can Large Language Models (LLMs) understand and reason about quantum operators? Despite their remarkable capabilities in mathematics and symbolic reasoning, LLMs remain inherently…
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…
Efficient Classical Simulation of Heuristic Peaked Quantum Circuits
David Kremer, Nicolas Dupuis
Peaked quantum circuits, whose output distribution is sharply concentrated on a single bitstring, have emerged as a promising candidate for verifiable quantum advantage, as the cor…
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 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…