Accelerated Research in Quantum Computing (ARQC)

Eligibility: 

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

Deadline Details: 

Internal Submission Deadline: Friday, April 19, 2019 

Closing Date for Applications: May 31, 2019

 

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in receiving applications from large multi-disciplinary teams (requesting support of more than $2 million per year) with the potential to dramatically accelerate research in quantum computing (QC). This FOA solicits applications for Accelerated Research in Quantum Computing (ARQC) Teams that will adopt a holistic and disciplined approach to address basic research gaps in the abstractions, methods and tools that connect QC applications to hardware.

A worldwide effort is underway to build practical quantum information processing devices and characterizing and exploiting the full range of capabilities of these devices carries an enormous practical significance and relevance to quantum physics, chemistry, biology and beyond. Much progress has been made, in recent years, in the development of quantum algorithms, programming languages and software tools but the need to address basic research knowledge gaps persists as recognized by The National Quantum Initiative Act.

ARQC Teams are invited to submit applications for the development, support, complementing, or deployment of the following objectives:
- Basic research foundations in quantum algorithms and in quantum computer science. It is expected that the proposed teams will be structured around these two main topics and will describe processes by which the results, capabilities and resources of the QATs and QCATs will be incorporated into a robust core basic research agenda.
- Mechanisms for taking on cross-cutting algorithmic and computer science challenges across quantum computing topics for DOE and SC relevant application-specific research.
- Tools and resources to facilitate the use of diverse hardware technologies and architectures.
- Mechanisms for providing a bridge between QIS and classical applied mathematics and computer science communities.
- Plans for engaging and interacting with (as appropriate) the DOE-supported QIS community. 

Read more and apply here