QAOA MaxCut Optimization
Benchmark of the Quantum Approximate Optimization Algorithm for solving the MaxCut problem on random graphs. Tests the quality of approximate solutions as a function of circuit depth (p-levels) and graph size. A standard benchmark for hybrid quantum-classical optimization.[1]
- Algorithm: Quantum Approximate Optimization Algorithm (QAOA)
- Category: optimization
- Qubits: 12
- Framework: PennyLane, Cirq
- Reproducible: Yes
- Published:
- QAOA
- optimization
- MaxCut
- hybrid
- combinatorial
What algorithm does QAOA MaxCut Optimization use?
QAOA MaxCut Optimization uses the Quantum Approximate Optimization Algorithm (QAOA) algorithm, categorized under optimization.
Frequently Asked Questions
What is the QAOA MaxCut Optimization benchmark?
Benchmark of the Quantum Approximate Optimization Algorithm for solving the MaxCut problem on random graphs. Tests the quality of approximate solutions as a function of circuit depth (p-levels) and graph size. A standard benchmark for hybrid quantum-classical optimization.
Is QAOA MaxCut Optimization reproducible?
Yes, this benchmark is reproducible.
Sources
- "A Quantum Approximate Optimization Algorithm", accessed 2026-03-19 — arXiv
- "Quantum Optimization Algorithms — Wikipedia", accessed 2026-03-20 — en.wikipedia.org