2021
DOI: 10.48550/arxiv.2108.10816
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

A large millikelvin platform at Fermilab for quantum computing applications

Matthew Hollister,
Ram Dhuley,
Grzegorz Tatkowski

Abstract: The need for larger mK cooling platforms is being driven by the desire to host ever growing numbers of cryogenic qubits in quantum computing platforms. As part of the Superconducting Quantum Materials and Systems Center at Fermilab funded through the Department of Energy under the National Quantum Initiative, we are developing a cryogenic platform capable of reaching millikelvin temperatures in an experimental volume of 2 meters diameter by approximately 1.5 meters in height. The platform is intended to host a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…While noise can be managed using quantum error correction [5], doing so will require redundant encoding of the information, thus further reducing the effective size of the algorithms that can be run on the hardware. For this reason, much work is currently ongoing on how to scale up leading types of quantum hardware [6,7] while dealing with the resulting challenges, such as loss [8,9], crosstalk [10,11], input/output bottlenecks [12][13][14] and the implementation of large-scale cryogenics [15,16]. The type and severity of the challenges faced will be different from architecture to architecture.…”
Section: Introductionmentioning
confidence: 99%
“…While noise can be managed using quantum error correction [5], doing so will require redundant encoding of the information, thus further reducing the effective size of the algorithms that can be run on the hardware. For this reason, much work is currently ongoing on how to scale up leading types of quantum hardware [6,7] while dealing with the resulting challenges, such as loss [8,9], crosstalk [10,11], input/output bottlenecks [12][13][14] and the implementation of large-scale cryogenics [15,16]. The type and severity of the challenges faced will be different from architecture to architecture.…”
Section: Introductionmentioning
confidence: 99%