IonQ

The 'IonQ' dataset/benchmark contains circuits constructed from native gates specific to IonQ's quantum processing units and is used to evaluate the performance of simulation techniques for Quantum Machine Learning algorithms.

Papers using IonQ (3)

TQml Simulator: optimized simulation of quantum machine learning2025Reliable High-accuracy Error Mitigation For Utility-scale Quantum Circuits2025Featuremetric benchmarking: Quantum computer benchmarks based on circuit features2025