Benchmark Reference
Each benchmark application includes its own documentation describing the algorithm, circuit construction, and expected results. This page provides quick links to all benchmark documentation.
Level 1: Introductory
| Benchmark | Description |
|---|---|
| Deutsch-Jozsa | Determines if a function is constant or balanced |
| Bernstein-Vazirani | Finds a hidden bit string encoded in a function |
| Hidden Shift | Finds a hidden shift between two functions |
Level 2: Intermediate
| Benchmark | Description |
|---|---|
| Quantum Fourier Transform | Quantum analog of the discrete Fourier transform |
| Grover's Search | Unstructured database search with quadratic speedup |
Level 3: Advanced
| Benchmark | Description |
|---|---|
| Phase Estimation | Estimates eigenvalues of unitary operators |
| Amplitude Estimation | Estimates probability amplitudes |
| HHL Linear Solver | Solves linear systems of equations |
Level 4: Application
| Benchmark | Description |
|---|---|
| Monte Carlo | Quantum Monte Carlo sampling |
| Hamiltonian Simulation | Trotterized quantum time evolution |
| HamLib Simulation | Hamiltonian simulation using the HamLib library |
| VQE | Variational Quantum Eigensolver for ground state energy |
| Shor's Algorithm | Integer factoring via quantum order finding |
Level 5: Hybrid Variational
| Benchmark | Description |
|---|---|
| MaxCut | Graph optimization using QAOA |
| Hydrogen Lattice | Molecular ground state energy estimation |
| Image Recognition | Quantum-enhanced image classification |
Other
| Benchmark | Description |
|---|---|
| Quantum Reinforcement Learning | Reinforcement learning with parameterized quantum circuits |
Programming Examples
Ready-to-use examples are provided in qedcbench/ showing how to run benchmarks from code:
| Example | Description |
|---|---|
run_benchmark_example.py |
Minimal Python script — runs anywhere after pip install -e . |
benchmarks-qiskit-modularized.ipynb |
Notebook: baseline three-part flow (get_circuits → run_circuits → plot_results) |
benchmarks-qiskit-modularized-IBM.ipynb |
Notebook: custom execution on IBM hardware |
benchmarks-qiskit-modularized-IQM.ipynb |
Notebook: custom execution on IQM hardware |
benchmarks-qiskit-modularized-MQT.ipynb |
Notebook: custom circuit generation from MQT Bench |
The modularized notebooks illustrate how to substitute custom code for any of the three parts. See the User Guide for details.