qaoa-redesign
Project status: UnknownMy reimplementation of the Variational Quantum-Classical Hybrid algorithm, the Quantum Approximate Optimization Algorithm. It features the standard implementation on the Ring of Disagrees Cost Hamiltonian, and my new implementation (called Power Iteration) that utilizes a new cost function. This Quantum Machine Learning Model outperforms QAOA on iterative approaches for multi-layer optimization.
- Target software or hardware
- Work type
- Primary public repository
- github.com/sradgowski/qaoa-redesign
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About and scope
My reimplementation of the Variational Quantum-Classical Hybrid algorithm, the Quantum Approximate Optimization Algorithm. It features the standard implementation on the Ring of Disagrees Cost Hamiltonian, and my new implementation (called Power Iteration) that utilizes a new cost function. This Quantum Machine Learning Model outperforms QAOA on iterative approaches for multi-layer optimization.
Contribution availability
Contribution policy unknown
- AI-assisted contribution policy
- Unspecified
Documented contributor systems
Contributor setup not documented
Reported progress
Progress not reported
Sources, builds and releases
- Open repository · github.comgithub.com/sradgowski/qaoa-redesign