QAOA plus quantum subspace expansion systematically improves MIS solutions on small random graphs, with a fitted gate-count crossover extrapolated to about 75 nodes.
An extension of the generator coordinate method with basis optimization
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abstract
The generator coordinate method (GCM) has been a well-known method to describe nuclear collective motions. In this method, one specifies {\it a priori} the relevant collective degrees of freedom as input of the method, based on empirical and/or phenomenological assumptions. We here propose a new extension of the GCM, in which both the basis Slater determinants and weight factors are optimized according to the variational principle. Applying this method to $^{16}$O and $^{28}$Si nuclei with the Skyrme functional, we demonstrate that the optimized bases correspond to excited states along a collective path, unlike the conventional GCM which superposes only the local ground states. This implies that a collective coordinate for large amplitude collective motions is determined in a much more complex way than what has been assumed so far.
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Systematic improvement of the quantum approximate optimisation ansatz for combinatorial optimisation using quantum subspace expansion
QAOA plus quantum subspace expansion systematically improves MIS solutions on small random graphs, with a fitted gate-count crossover extrapolated to about 75 nodes.