application-level-quantum-benchmarking

name	application-level-quantum-benchmarking
description	Scalable framework for application-level quantum benchmarking. Supports cross-platform comparison with 13 benchmark families covering solution quality, execution time, energy, and Time-to-Solution metrics. Activation: quantum benchmarking, application-level benchmark, quantum system evaluation

Application-Level Quantum Benchmarking Framework

Description

Scalable framework for application-level quantum benchmarking supporting internal system evaluation and cross-platform comparison.

Core Principles

1. Measurability

• Quantifiable performance metrics
• Reproducible results
• Standardized measurement procedures

2. Simplicity

• Interpretable across stakeholder groups
• Clear metric definitions
• Accessible to non-experts

3. Scalability

• Applicable across different system sizes
• Comparable across technology providers
• Extensible to future systems

4. Extensibility

• Adaptable to evolving capabilities
• Support for new benchmark families
• Future-proof design

Benchmark Families

13 Benchmark Categories

1. Optimization Problems

   • Combinatorial optimization
   • Constraint satisfaction

2. Simulation Tasks

   • Quantum chemistry
   • Materials science

3. Machine Learning

   • Quantum kernels
   • Variational algorithms

4. Cryptography

   • Quantum key distribution
   • Post-quantum algorithms

[Additional benchmark families...]

Metrics

Solution Quality

• Accuracy of solutions
• Approximation ratios
• Error rates

Execution Metrics

• Total Execution Time: End-to-end runtime
• Time-to-Solution: Time to reach acceptable solution
• Total Energy Consumption: Energy efficiency measure

Framework Benefits

Industry Applications

• Cross-platform comparison
• Technology provider evaluation
• System development tracking

Research Applications

• Algorithm comparison
• Hardware characterization
• Progress tracking

Standardization

• Foundation for industry standards
• Common evaluation language
• Reproducible research

Implementation Guide

Step 1: System Characterization

• Define system specifications
• Identify relevant benchmark families

Step 2: Benchmark Selection

• Choose appropriate benchmarks
• Configure parameters

Step 3: Execution

• Run benchmarks
• Collect metrics

Step 4: Analysis

• Compare results
• Generate reports

References

• arXiv:2604.11781 - "Measuring what matters: A scalable framework for application-level quantum benchmarking"
• Aboumrad et al., 2026

Activation Keywords

• quantum benchmarking
• application-level benchmark
• quantum system evaluation
• cross-platform comparison
• quantum metrics