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arXiv · 1802.01157

Quantum Approximate Optimization with Parallelizable Gates

Wolfgang Lechner
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Abstract

The quantum approximate optimization algorithm (QAOA) has been introduced as a heuristic digital quantum computing scheme to find approximate solutions of combinatorial 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 protocol consisting of single qubit operations that encode the optimization problem and 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.

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Wolfgang Lechner. 2018-02-04. Quantum Approximate Optimization with Parallelizable Gates. https://arxiv.org/abs/1802.01157

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