3 citations · 3 across the 3 of their papers we have counts for
3 papers
Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
Daniel Mills, Ifan Williams, Jacob Swain +3
Many quantum software development kits provide a suite of circuit optimisation passes. These passes have been highly optimised and tested in isolation. However, the order in which…
Deep Learning Approaches to Quantum Error Mitigation
Leonardo Placidi, Ifan Williams, Enrico Rinaldi +4
We present a systematic investigation of deep learning methods applied to quantum error mitigation of noisy output probability distributions from measured quantum circuits. We comp…
Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks
Thomas Lubinski, Joshua J. Goings, Karl Mayer +11
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications. Its benchma…