Litcius/Paper detail

On the universality of the quantum approximate optimization algorithm

M. E. S. Morales, J. D. Biamonte, Z. Zimborás

2020Quantum Information Processing83 citationsDOIOpen Access PDF

Abstract

Abstract The quantum approximate optimization algorithm (QAOA) is considered to be one of the most promising approaches towards using near-term quantum computers for practical application. In its original form, the algorithm applies two different Hamiltonians, called the mixer and the cost Hamiltonian, in alternation with the goal being to approach the ground state of the cost Hamiltonian. Recently, it has been suggested that one might use such a set-up as a parametric quantum circuit with possibly some other goal than reaching ground states. From this perspective, a recent work (Lloyd, arXiv:1812.11075 ) argued that for one-dimensional local cost Hamiltonians, composed of nearest neighbour ZZ terms, this set-up is quantum computationally universal and provides a universal gate set, i.e. all unitaries can be reached up to arbitrary precision. In the present paper, we complement this work by giving a complete proof and the precise conditions under which such a one-dimensional QAOA might produce a universal gate set. We further generalize this type of gate-set universality for certain cost Hamiltonians with ZZ and ZZZ terms arranged according to the adjacency structure of certain graphs and hypergraphs.

Topics & Concepts

Universality (dynamical systems)Quantum computerQuantum circuitQuantumQuantum algorithmComputationQuantum gateComputer scienceParametric statisticsAdjacency listComplement (music)Ground stateQuantum informationAlgorithmMathematicsDiscrete mathematicsQuantum networkQuantum Turing machineOptimization problemQuantum stateHypergraphTheoretical computer scienceTopology (electrical circuits)Quantum logicQuantum annealingQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata