Journal
PHYSICAL REVIEW X
Volume 7, Issue 4, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevX.7.041061
Keywords
-
Categories
Funding
- Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the U.S. Army Research Office [W911NF-16-1-0070]
- U.S. ARO [W911NF-14-1-010]
- Spanish MINECO [FIS2015-70856-P]
- CAM Regional Research Consortium QUITEMAD+
- Austrian Science Fund (FWF), through the SFB FoQus [F4002-N16]
- Institut fur Quanteninformation GmbH
- EPSRC [EP/M013243/1]
- EPSRC [EP/M013243/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/M013243/1] Funding Source: researchfish
Ask authors/readers for more resources
A quantitative assessment of the progress of small prototype quantum processors towards fault-tolerant quantum computation is a problem of current interest in experimental and theoretical quantum information science. We introduce a necessary and fair criterion for quantum error correction (QEC), which must be achieved in the development of these quantum processors before their sizes are sufficiently big to consider the well-known QEC threshold. We apply this criterion to benchmark the ongoing effort in implementing QEC with topological color codes using trapped-ion quantum processors and, more importantly, to guide the future hardware developments that will be required in order to demonstrate beneficial QEC with small topological quantum codes. In doing so, we present a thorough description of a realistic trapped-ion toolbox for QEC and a physically motivated error model that goes beyond standard simplifications in the QEC literature. We focus on laser-based quantum gates realized in two-species trapped-ion crystals in high-optical aperture segmented traps. Our large-scale numerical analysis shows that, with the foreseen technological improvements described here, this platform is a very promising candidate for fault-tolerant quantum computation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available