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Line 437: ==Hybrid quantum/classical algorithms== Hybrid Quantum/Classical Algorithms combine quantum state preparation and measurement with classical optimization.<ref>{{cite journal\|last1=Moll\|first1=Nikolaj\|last2=Barkoutsos\|first2=Panagiotis\|last3=Bishop\|first3=Lev S.\|last4=Chow\|first4=Jerry M.\|last5=Cross\|first5=Andrew\|last6=Egger\|first6=Daniel J.\|last7=Filipp\|first7=Stefan\|last8=Fuhrer\|first8=Andreas\|last9=Gambetta\|first9=Jay M.\|last10=Ganzhorn\|first10=Marc\|last11=Kandala\|first11=Abhinav\|last12=Mezzacapo\|first12=Antonio\|last13=Müller\|first13=Peter\|last14=Riess\|first14=Walter\|last15=Salis\|first15=Gian\|last16=Smolin\|first16=John\|last17=Tavernelli\|first17=Ivano\|last18=Temme\|first18=Kristan\|title=Quantum optimization using variational algorithms on near-term quantum devices\|journal=Quantum Science and Technology\|date=2018\|volume=3\|issue=3\|pages= 030503\|doi=10.1088/2058-9565/aab822\|arxiv=1710.01022}}</ref> These algorithms generally aim to determine the ground state eigenvector and eigenvalue of a Hermitian Operator. === QAOA ===

Quantum algorithm: Difference between revisions