Air Force Asks Industry to Develop Quantum Computing Software Algorithms for Next-Generation Command and Control
ROME, NY- US Air Force researchers are asking industry to develop new quantum computing algorithm software for the automation and machine learning of future command, control, communications and intelligence systems.
On Thursday, officials from the Air Force Research Laboratory Information Branch in Rome, NY, issued a broad agency announcement (FA8750 AFRL RIK ROME NY 13441-4514 USA) for the Quantum Information Services project .
Researchers want companies to submit white papers for research, design, development, concept testing, experimentation, integration, evaluation, and delivery of technology to support Air Force research in command and control.
Quantum computing seeks to capitalize on quantum mechanics to deliver a huge leap forward in processor performance to solve particularly difficult problems.
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The project revolves around five axes: quantum algorithm and computing; quantum information processing; quantum networking based on memory nodes; superconducting hybrid quantum platforms; and quantum information science.
Quantum Algorithm and Computation aims to develop quantum software algorithms for today’s computers, including noisy intermediate-scale quantum computers (NISQ) and adiabatic quantum and annealing quantum computers.
Researchers are interested in quantum software algorithms for machine learning, neural networks, optimization, quantum walks, unstructured searches, decision and risk analysis, hybrid classical and quantum algorithms, Efficient decomposition and characterization of quantum gates and circuits, protocols and algorithms for quantum integrated photonic waveguide chips, superconducting qubits and trapped ion platforms.
Quantum information processing is concerned with entanglement distribution, quantum information processing, and local and distributed quantum computing. The project will focus on photon-based qubits, including photonic quantum integrated circuits, interactions between photon-based qubits, and other qubit technologies.
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Other interests include quantum repeaters, high-dimensional entanglement, efficient generation and measurement of quantum states, characterization and discrimination of quantum channels, and measurement-based quantum computing.
Researchers focus on photon-based qubits, single photons and on-demand entangled photons, quantum algorithms using cluster and graph states, trapped ion qubits, superconducting qubits, quantum annealing or adiabatic quantum computing and blind quantum computing.
Quantum networking based on memory nodes includes quantum networking, quantum communication and quantum information processing with emphasis on trapped ion qubits, superconducting qubits, qubits based on integrated circuits and the distribution of entanglement.
Focus areas include multi-node network connections, quantum transduction across frequency bands, interfacing heterogeneous qubit technologies, quantum information mapping between homogeneous and heterogeneous qubit technologies, distribution of entanglement, verification and validation of entanglement, ultra-high vacuum technology, dilution refrigerator technology, laser development and laser control, and interfaces between different platforms.
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Superconducting hybrid quantum platforms focus on the development of new quantum devices, new functionalities, and exploring the fundamental physics of quantum networks, with an emphasis on hybrid superconducting systems.
The focus is on inter-quantum technologies for interfacing superconducting qubits and circuits with ion trap systems, integrated photonic circuits, and electromechanical and optomechanical systems; quantum and classical microwave optical interfaces; develop heterogeneous quantum architectures integrated in 3D; chip-scale refrigeration; and quantum interfaces across large temperature gradients.
Quantum information science focuses on quantum communications, quantum networks, and quantum computing, with an emphasis on quantum bit technologies, quantum protocols for networking and computing, and technologies enabling.
Funding for this project will be approximately $20 million over the next two years.
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Interested companies should submit two- to four-page white papers by September 29, 2022 for 2023 Funding and by September 29, 2023 for 2024 Funding to Kristi Mezzano of the Air Force at AFRL.RIT.Quantum@us.af.mil.
More information is online at https://sam.gov/opp/afdb23099e5b4275b211e72f6cef0861/view.