A Quantum Approximate Optimization Algorithm with Metalearning for MaxCut Problem and Its Simulation via TensorFlow Quantum

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Environments</td><td class="align_center">Parameters</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">Intel (R) Xeon (R) Gold 5218</td></tr><tr><td class="align_left">Hard disk</td><td class="align_center">Samsung PM881 512 GB</td></tr><tr><td class="align_left">GPU</td><td class="align_center">NVIDIA GeForce RTX 2080 Ti</td></tr><tr><td class="align_left">Simulation platform</td><td class="align_center">TensorFlow Quantum 2.3.0</td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Windows 10</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab1

Table 1

Table 1: A Quantum Approximate Optimization Algorithm with Metalearning for MaxCut Problem and Its Simulation via TensorFlow Quantum 