MQT Bench

'MQT Bench' is a benchmark dataset used to evaluate the performance of quantum simulators, particularly in the context of simulating large-scale quantum algorithms.

Papers using MQT Bench (3)

CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem2026Comparative Benchmarking of Utility-Scale Quantum Emulators2025SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations2025