Note: This preprint has been superseded by arXiv:1806.04318. Recent advances in nanotechnology have enabled researchers to control individual quantum mechanical objects with unprecedented accuracy, opening the door for both quantum and extreme-scale conventional computing applications. As these devices become larger and more complex, the ability to design them such that they can be simply controlled becomes a daunting and computationally infeasible task. Here, motivated by ideas from compressed sensing, we introduce a protocol for the Compressed Optimization of Device Architectures (CODA). It leads naturally to a metric for benchmarking device performance and optimizing device designs, and provides a scheme for automating the control of gate operations and reducing their complexity. Because CODA is computationally efficient, it is readily extensible to large systems. We demonstrate the CODA benchmarking and optimization protocols through simulations of up to eight quantum dots in devices that are currently being developed experimentally for quantum computation.
@article{arxiv.1409.3846,
title = {Compressed optimization of device architectures},
author = {Adam Frees and John King Gamble and Daniel R. Ward and Robin Blume-Kohout and M. A. Eriksson and Mark Friesen and S. N. Coppersmith},
journal= {arXiv preprint arXiv:1409.3846},
year = {2018}
}
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Note: This preprint has been superseded by arXiv:1806.04318