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Quantum Approximate Optimization with Parallelizable Gates

Research paper by Wolfgang Lechner

Indexed on: 04 Feb '18Published on: 04 Feb '18Published in: arXiv - Quantum Physics



Abstract

The quantum approximate optimization algorithm (QAOA) has been recently introduced as a heuristic digital quantum computing scheme to solve combinatorial optimization problems with shallow circuits. We present a scheme to parallelize this approach for arbitrary all-to-all connected problem graphs in a layout of quantum bits (qubits) with nearest neighbor interactions. The optimization protocol consisting of single qubit operations that encode the optimization problem while all interactions are problem-independent pair-wise CNOT gates among nearest neighbors. This allows for a parallelizable implementation in quantum devices with a square lattice geometry. The basis of this proposal is a lattice gauge model which also introduces additional parameters and protocols for QAOA to improve the efficiency.