| 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
-
Optimization Problems
- Combinatorial optimization
- Constraint satisfaction
-
Simulation Tasks
- Quantum chemistry
- Materials science
-
Machine Learning
- Quantum kernels
- Variational algorithms
-
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
