Abstract
Hardware of quantum computers is limited in qubit count, fidelity, and connectivity now and for the near future. In order to gain maximum advantage from these machines, it is imperative to use these resources in an optimal and efficient way. I will present the example of the SPARQS co-design geared at simulating small clusters of the Fermi Hubbard model at finite nonzero temperature [1], that saves the experimenter the need of intersecting wires and three-dimensional chip integration. I will also show a new example of a co-design of the QAOA-algorithm that permits to avoid programmable interactions [2]. I will finally muse about the fluidity of the line between modern closed-loop gate design and modern variational algorithms, suggesting time-continuous strategies for state preparation [3].
[1] Pierre-Luc Dallaire-Demers and Frank K. Wilhelm, Phys. Rev. A 94, 062304, 2016
[2] David Headley, Thorge Müller, Ana Martin, Enrique Solano, Mikel Sanz, Frank K. Wilhelm, arXiv:2002.12215
[3] Shai Machnes, Nicolas Wittler, Federico Roy, Kevin Pack, Anurag Sasha-Roy, and Frank K. Wilhelm, methodology for Control, Calibration and Characterization of quantum devices,applied to superconducting qubits, in preparation