Emerging Computing Architectures and Applications


All qualified offerors who meet the requirements of this BAA may apply. Foreign or foreign-owned offerors are advised that their participation is subject to foreign disclosure review procedures. Foreign or foreign-owned offerors should immediately contact the contracting office focal point, Gail E. Marsh, Contracting Officer, telephone (315) 330-7518 or e-mail Gail.Marsh@us.af.mil for information if they contemplate responding. The e-mail must reference the title and BAA-RIK-14-05


26 Electronic Parkway
Rome, New York 13441-4514
United States

Primary Point of Contact: Gail E. Marsh, Contracting Officer
Gail.Marsh@us.af.mil; 315-330-7518

Deadline Details: 

This is a two-step open broad agency announcement. This announcement constitutes the only solicitation. AS STEP ONE - We are only soliciting white papers at this time. It is recommended that white papers be received by the following dates to maximize the possibility of award:
FY17 by 01 Mar 2017 
FY18 by 01 Mar 2018 
FY19 by 30 Sep 2019 

White papers will be accepted until 2pm Eastern time on 30 Sep 2019, but it is less likely that funding will be available in each respective fiscal year after the dates cited. If any of these dates listed fall on a non-business day, they will be accepted on the next business day. This BAA will close on 30 Sep 2019.

The Information Directorate, High Performance Systems Branch, of the Air Force Research Laboratory (AFRL), Rome Research Site, is soliciting white papers under this announcement for innovative technologies to explore and develop computational capabilities with greater sophistication, autonomy, intelligence, and assurance for addressing dynamic mission requirements imposed by Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance (C4ISR) applications and Size Weight and Power (SWAP) constrained Air Force platforms.

Of particular interest are emerging technologies that can provide revolutionary computational capabilities which enable greater system adaptability, autonomy and intelligence while improving information availability throughout the C4ISR enterprise. This includes quantum algorithms, computing architectures that improve energy efficiency, architectures that support computational intelligence and neuromorphic computing, architectures for embedded processing, architectures for high-performance computing which improve performance & enable increased system functionality, tools to increase the productivity of developing applications, methods and architectures that can provide dramatic improvements in the performance/cost of systems. Also of interest are technologies that can reduce warfighter decision latencies/response time, decrease system costs and system development times.

The overall objective of this BAA is to research, develop, and demonstrate emerging computing technologies and applications. This involves performing research and development in the following technical areas:

(1) Quantum Computing

The objective of this research is to explore the theoretical development of quantum algorithms and their experimental implementation in quantum systems with an emphasis on applications to scientific computing, search, decision, and optimization problems. This research includes but is not limited to: one-way quantum computation using cluster/graphs states, measurement based quantum computation, quantum computing with an emphasis on the utilization of photon-based qubits, quantum algorithms employing cluster/graph states, quantum annealing or adiabatic quantum computation, blind quantum computation, quantum error protection by topological encoding, quantum circuit simulation with an emphasis on modeling experiments, single photon/entangled-photons on demand, quantum integrated optical waveguide circuitry, reduced measurement methodologies for quantum tomography of multi-qubit states, measures of quantum entanglement, and the distinction between quantum and classical information and its subsequent exploitation.

Questions regarding this technical area can be directed to:
Paul Alsing (315) 330-4960, Paul.Alsing@us.af.mil

(2) Nanocomputing

The objective of this research is to explore current and emerging nanoelectronics for information processing towards novel super-high-performance computing architectures that utilize ultra-low consumed power. In order to achieve this energy efficient computing performance, this research utilizes bottom-up/top-down synthesis taxonomy based designs for computing (processing) platforms implemented using innovative inorganic and/or organic nanodimensional devices and circuits. The emphasis of this research is on emerging nanomaterials and processes that enable innovative organizations/architectures and assess 2D and 3D technology research involving novel hardware, software, design methods and nanotechnology solutions. Nanoelectronics of interest include, but are not limited to, multidisciplinary development of memristive, spintronic, carbon-based, or hybrid complementary metal oxide semiconductor (CMOS) technologies in novel architectures. Nanoelectronic architectures that support novel information processing such as spike processing and synthetic neurons in bio-inspired architectures are also of interest. Emerging applications include use in embedded, autonomous systems, as well as brain-computer interfaces.

Questions regarding this technical area can be directed to:
Joseph Van Nostrand (518) 956-7247, Joseph.VanNostrand.1@us.af.mil

Read more here.