qubithubportfolio-optimization
Optimizes asset portfolio selection using the Quantum Approximate Optimization Algorithm (QAOA). Encodes the Markowitz mean-variance model as a QUBO: maximize returns (RZ), minimize correlated risk (RZZ), and enforce a budget constraint via quadratic penalty. Default: 4 assets, budget of 2, risk factor 0.5. Demonstrates the full QUBO-to-QAOA pipeline for financial optimization.
- Framework
- Qiskit
- Qubits
- 4
- Depth
- 13
- Gate set
- H, RZZ, RX
- Licence
- Apache-2.0
- Version
- v1
- Updated
- 1 day ago
- Runs
- None completed
Circuit
circuit.py · Qiskit · depth 13Loading circuit diagram…
metadata.json · 449 B
Code
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@software{qubithub_portfoliooptimization_2026,
author = {QubitHub Circuits},
title = {QAOA for Portfolio},
year = {2026},
version = {v1},
url = {https://qubithub.co/qubithub/portfolio-optimization},
}Generated from this circuit's metadata. QubitHub does not mint DOIs, so this is not a registered identifier — check it against your venue's requirements before publishing.