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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Integrated Photonic Quantum Frequency Processor for High-Dimensional QIP

    SBC: FREEDOM PHOTONICS LLC            Topic: AF20AT003

    To formulate the ultimate quantum computer, it is likely the case that several technologies will be combined in a hybrid fashion, in which dissimilar and physically separated qubits are joined via universal quantum interconnects – a network dubbed the “quantum internet”. Quantum information processing in the photonic domain allows for information to transmitted over appreciable distances, op ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. LOQI: Leveraging Optimization using Quantum-devices for Internet-security

    SBC: QC WARE CORP.            Topic: AF20AT003

    The Leveraging Optimization via Quantum-devices for Internet-security (LOQI) proposal aims to demonstrate the power of hybrid (quantum/classical) optimization approaches for classes of combinatorial optimization problems that are relevant to several cyber-security settings. In Phase 1 (this proposal) we will conduct a feasibility study to develop an analytical framework and algorithms, and prototy ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Quantum Entanglement on Drones

    SBC: QUBITEKK, INC.            Topic: AF20AT004

    Devices that make use of quantum phenomena are being developed at an ever-increasing pace as the field of quantum information transitions from ‘understanding’ to ‘control’ in order to harness aspects of quantum mechanics to realize capabilities in computing, sensing, and communication that are simply not possible in the classical world. The growing prevalence of quantum devices will, in tu ...

    STTR Phase I 2020 Department of DefenseAir Force
  4. Systems-Driven Component Development for Photon-Superconductor Multi-Node Quantum Networks

    SBC: Rigetti & Co, Inc.            Topic: AF20AT004

    Large-scale quantum networks require new technologies for coherently routing quantum information between distant quantum memories or processing nodes. Notably, low-noise transducers for coherent microwave-optical signals endeavor to combine two of the most successful quantum platforms together, allowing quantum photonic networks to establish entanglement links between distant superconducting qubit ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Advanced Photonic Integrated Circuits for Quantum Key Distribution Transmitters

    SBC: FREEDOM PHOTONICS LLC            Topic: AF20AT004

    Quantum technology advances are currently at the forefront of U.S. military interest. In particular, recent developments in quantum communications have successfully demonstrated quantum key distribution (QKD) in space by the Chinese Micius satellite for quantum studies and quantum communication. Freedom Photonics is exploring photonic integrated circuit (PIC) solutions for time-bin QKD satellite a ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Quantum-Entangled Ensemble Network (QuEEN)

    SBC: AOSENSE, INC.            Topic: AF20AT004

    Robust entanglement of spatially separated particles or ensembles of particles is an enabling technology for quantum networking, quantum communication, and quantum information processing. While a variety of platforms have supported demonstrations of this type of entanglement, room-temperature atomic vapor cells are a particularly attractive implementation because of the relative simplicity of the ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Transportable Rugged Crystalline Silicon Reference (TRuCR)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    Crystalline silicon cavities serve as ultralow-phase-noise optical local oscillators for optical atomic frequency standards and can support the realization of optical timescales.  While a JILA/PTB team has built and tested several silicon cavities over the past decade, similar cavities are not readily available to other potential users.  We propose to combine AOSense’s expertise in laser-frequ ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Low-Power Microwave Oscillator (LMO)

    SBC: AOSENSE, INC.            Topic: AF20AT001

    High-performance microwave atomic clocks have broad applications, both for military and civilian uses.  A low-phase-noise microwave frequency oscillator/synthesizer is necessary to ensure the high performance of these microwave clocks.  A power-hungry conventional low-phase-noise microwave frequency oscillator/synthesizer circuit usually limits the reduction of the power consumption in these ato ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Passive Image Processing Algorithms for Automated Target Attitude Estimation

    SBC: TOYON RESEARCH CORPORATION            Topic: AF19BT005

    Weapons systems testing and analysis is crucial to engineering, understanding, qualifying, and deploying advanced weapons systems. With the boom in camera technology over the past decade image based methods to support weapons testing and analysis have become the state of practice for military test ranges. At the same time, there has been an explosion of research and development in computer vision ...

    STTR Phase I 2020 Department of DefenseAir Force
  10. Novel Image Segmentation Methods for Missile Attitude

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF19BT005

    Missile attitude in flight can be difficult to determine from ground-based images due to image resolution, lighting, object occlusion, and poor contrast. To address the need, UHV and UTARI propose a fusion based approach of 2 well proven methods to solve this problem. First, UHV Technologies will implement their existing innovative and state of the art machine learning methods for image segmentati ...

    STTR Phase I 2020 Department of DefenseAir Force
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