



@article {2530,
	title = {Quantum Computer Systems for Scientific Discovery},
	year = {2019},
	month = {12/16/2019},
	abstract = {<p>The great promise of quantum computers comes with the dual challenges of building them and finding their useful applications. We argue that these two challenges should be considered together, by co-designing full stack quantum computer systems along with their applications in order to hasten their development and potential for scientific discovery. In this context, we identify scientific and community needs, opportunities, and significant challenges for the development of quantum computers for science over the next 2-10 years. This document is written by a community of university, national laboratory, and industrial researchers in the field of Quantum Information Science and Technology, and is based on a summary from a U.S. National Science Foundation workshop on Quantum Computing held on October 21-22, 2019 in Alexandria, VA.</p>},
	url = {https://arxiv.org/abs/1912.07577},
	author = {Yuri Alexeev and Dave Bacon and Kenneth R. Brown and Robert Calderbank and Lincoln D. Carr and Frederic T. Chong and Brian DeMarco and Dirk Englund and Edward Farhi and Bill Fefferman and Alexey V. Gorshkov and Andrew Houck and Jungsang Kim and Shelby Kimmel and Michael Lange and Seth Lloyd and Mikhail D. Lukin and Dmitri Maslov and Peter Maunz and Christopher Monroe and John Preskill and Martin Roetteler and Martin Savage and Jeff Thompson and Umesh Vazirani}
}
@article {1944,
	title = {Experimental demonstration of cheap and accurate phase estimation},
	journal = {Physical Review Letters},
	volume = {118},
	year = {2017},
	month = {2017/05/12},
	pages = {190502},
	abstract = {<p>We demonstrate experimental implementation of robust phase estimation (RPE) to learn the phases of X and Y rotations on a trapped Yb+ ion qubit. We estimate these phases with uncertainties less than 4 \&middot; 10\&minus;4 radians using as few as 176 total experimental samples per phase, and our estimates exhibit Heisenberg scaling. Unlike standard phase estimation protocols, RPE neither assumes perfect state preparation and measurement, nor requires access to ancillae. We cross-validate the results of RPE with the more resource-intensive protocol of gate set tomography.</p>},
	doi = {doi.org/10.1103/PhysRevLett.118.190502},
	url = {https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.118.190502},
	author = {Kenneth Rudinger and Shelby Kimmel and Daniel Lobser and Peter Maunz}
}
