Benchmark

QED-C Application-Specific Benchmark Profiles

Volumetric benchmarking framework · Other · Qiskit, Cirq, Braket

Extension of the QED-C benchmark framework focused on application-specific benchmark profiles that measure quantum hardware capability across problem-relevant circuit shapes and depths. The volumetric benchmarking methodology plots result quality against circuit width and depth to produce capability maps, enabling comparison across different quantum platforms for specific application domains such as optimization, chemistry, and machine learning.

QED-Cvolumetricapplication-orientedbenchmark-suitestandardization

Extension of the QED-C benchmark framework focused on application-specific benchmark profiles that measure quantum hardware capability across problem-relevant circuit shapes and depths. The volumetric benchmarking methodology plots result quality against circuit width and depth to produce capability maps, enabling comparison across different quantum platforms for specific application domains such as optimization, chemistry, and machine learning.

Key Metrics
Approach
Volumetric capability maps
Domains covered
Optimization, chemistry, ML
Why It Matters

Extends abstract benchmarks into application-specific capability assessment, mapping what real problems a quantum processor can tackle at what scale.

Hardware

Multi-platform

Framework

Qiskit, Cirq, Braket