Quantum optimization algorithms

<p>Quantum optimization algorithms are <a href="/facts/Quantum_algorithms/ceJaJ6Eq">quantum algorithms</a> that are used to solve optimization problems. <a href="/facts/Mathematical_optimization/oRn8Iv5I">Mathematical optimization</a> deals with finding the best solution to a problem (according to some criteria) from a set of possible solutions. Mostly, the optimization problem is formulated as a minimization problem, where one tries to minimize an error which depends on the solution: the optimal solution has the minimal error. Different optimization techniques are applied in various fields such as <a href="/facts/Mechanics/A3yHLQA5">mechanics</a>, <a href="/facts/Economics/HYctA2Dn">economics</a> and <a href="/facts/Engineering/RFVg8H3I">engineering</a>, and as the complexity and amount of data involved rise, more efficient ways of solving optimization problems are needed. <a href="/facts/Quantum_computing/nbbcgmvq">Quantum computing</a> may allow problems which are not practically feasible on classical computers to be solved, or suggest a considerable speed up with respect to the best known classical algorithm.
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Quantum optimization algorithms open-in-new

Quantum optimization algorithms