Krahasoni metodat

	Makina Mbështetëse Kuantike e Vektorëve	Algoritmi Aproksimues Kuantum për Optimizim
Fusha	Llogaritja kuantike	Llogaritja kuantike
Familja	Machine learning	Machine learning
Viti i origjinës	2014	2014
Krijuesi	Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd	Edward Farhi
Lloji	Machine learning algorithm	Hybrid quantum-classical algorithm
Burimi themelues	Rebentrost, P., Mohseni, M., Lloyd, S. (2014). Quantum support vector machine for big data classification. Physical Review Letters, 113, 130503.	Farhi, E., Goldstone, J., Gutmann, S. (2014). A quantum approximate optimization algorithm. arXiv preprint arXiv:1411.4028.
Emërtime të tjera	QSVM, quantum kernel	QAOA, quantum alternating operator ansatz
Të lidhura	2	4
Përmbledhja	Quantum Support Vector Machine (QSVM) is a quantum machine learning algorithm combining quantum feature spaces with classical SVM training. Proposed by Rebentrost et al. in 2014, QSVM leverages quantum processors to compute kernel functions, potentially offering speedup for classification problems while remaining practical on near-term quantum devices.	The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm designed to solve combinatorial optimization problems on near-term quantum devices. Introduced by Farhi, Goldstone, and Gutmann in 2014, QAOA encodes optimization problems into quantum circuits and uses classical optimization to tune circuit parameters, aiming to find approximately optimal solutions for problems like MaxCut, graph coloring, and scheduling.