Adiabatic quantum computing is a computational model that utilizes the principles of quantum mechanics to perform calculations by slowly evolving a system from an initial simple Hamiltonian to a final Hamiltonian whose ground state encodes the solution to a problem. This method is grounded in the adiabatic theorem, which states that a quantum system remains in its ground state if the changes to the Hamiltonian are made slowly enough. The process allows the system to avoid transitions to excited states, thereby potentially solving optimization problems more efficiently than classical algorithms.
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