Knowledge and Information Technology Laboratory @ DMI-UniPG 🏫
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- VQE-PFSP Public
VQE for PFSSP. A Python implementation of a Variational Quantum Eigensolver for the Permutation Flow Shop Scheduling Problem, using compact Lehmer code encoding, Qiskit’s RealAmplitudes ansatz, and hybrid SPSA/COBYLA optimization to minimize makespan on Taillard benchmark instances.
UniPG-KitLab/VQE-PFSP’s past year of commit activity - Ansatz-Optimization-with-SA-in-VQA-for-TSP Public
In this paper we present a VQA for solving the TSP problem that requires only O(n log n) qubits and an Ansatz whose topology evolves via Simulated Annealing.
UniPG-KitLab/Ansatz-Optimization-with-SA-in-VQA-for-TSP’s past year of commit activity - .github Public
UniPG-KitLab/.github’s past year of commit activity - Freeze-and-Conquer Public
In this paper we present a VQA for the TSP that combines (i) a compact encoding of permutations, (ii) an optimize-freeze-reuse strategy. This pipeline eliminates costly structural research in testing, making the procedure immediately implementable on NISQ hardware.
UniPG-KitLab/Freeze-and-Conquer’s past year of commit activity
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