Back to News
quantum-computing

BQP Secures First Federal Contract via SpaceWERX SBIR for Quantum-Assisted AI in Space Domain Awareness

The Qubit Report Staff
Loading...
3 min read
0 likes
⚡ Quantum Brief
BosonQ Psi Federal LLC has received its first U.S. federal contract through the SpaceWERX Open Topic SBIR program. The award supports development of Physics-Constrained Quantum-Assisted Machine Learning software designed to classify uncorrelated orbital tracks more rapidly and accurately. The approach compresses AI models by 99 percent while preserving high accuracy and enabling deployment on edge processors. Prior demonstrations at the SDA TAP Lab validated the method for on-orbit autonomy. The technology also holds potential for broader commercial edge-AI applications.
AI Audio Summary
0:00 / 0:00
Click to play
8377ec08-9e06-4a8f-b6b0-006509aa5665.jpeg
Quantum News · Media Library

First Federal Milestone: BosonQ Psi Federal LLC wins its inaugural U.S. government contract through the SpaceWERX Open Topic SBIR program.Model Compression Results: Physics-Constrained Quantum-Assisted Machine Learning shrinks AI models 99 percent while sustaining greater than 99 percent classification accuracy.Edge Deployment Focus: The software is engineered to run on space-qualified processors and resource-constrained devices for autonomous orbital object identification.BosonQ Psi Federal LLC, the New York-based federal affiliate of BosonQ Psi Corp, has been awarded its first federal contract under the SpaceWERX Open Topic Small Business Innovation Research program. The award funds development and validation of a Physics-Constrained Quantum-Assisted Machine Learning (PC-QAML) application built on the company’s BQPhy® quantum-accelerated platform. The work targets rapid classification of Uncorrelated Tracks among the 18,000 to 25,000 daily observations collected by the U.S.

Space Surveillance Network, supporting Space Domain Awareness missions for Space Operations Command Mission Delta 2 and Space Systems Command.PC-QAML integrates physics-based modeling with quantum-inspired computational techniques to produce AI inference models that are both more efficient and 99 percent more compact than conventional approaches. According to BQP, the method reduces model size from 14 million parameters to approximately 2,000 while maintaining greater than 99 percent classification accuracy. The resulting architecture delivers up to a tenfold reduction in inference latency, roughly 90 percent lower power consumption, and faster retraining cycles. These gains allow the software to operate directly on space-qualified processors and edge devices such as the NVIDIA Jetson Nano, without reliance on cloud resources, GPUs, or future quantum hardware. Prior demonstration at the BMC3I TAP Lab (formerly SDA TAP Lab) confirmed practical on-orbit viability for autonomous detection of orbital separation events and potential adversarial behaviors. The approach builds directly on BQP’s earlier participation in the 2025 SDA Mini-Accelerator, where it showed results relevant to Uncorrelated Track classification and Threat Simulation Catalog integration.The non-dilutive funding establishes BQP’s formal entry into the U.S. federal market and creates structured collaboration pathways with Space Domain Awareness stakeholders. By enabling autonomous analysis at the tactical edge, the technology reduces dependence on centralized computing infrastructure and shortens decision timelines for operators tracking newly launched satellites, collision fragments, or systems designed to evade detection. Beyond defense applications, the same compact, low-power architecture supports commercial use cases in autonomous systems, aerospace platforms, and industrial monitoring where high-performance AI must operate under strict size, weight, and power constraints. The effort aligns with broader SpaceWERX objectives of accelerating dual-use commercial technologies for the U.S. Space Force, which awarded more than 300 contracts totaling $510 million in fiscal year 2025, and supports mission objectives for both Mission Delta 2 and Space Systems Command.BQP’s inaugural SpaceWERX SBIR contract advances practical quantum-inspired AI for autonomous space domain awareness on constrained hardware.Find out more here.—Further articles, reports, and the latest quantum computing news may be found at The Qubit Report.The Chattanooga Quantum Collaborative has launched TN QuantumWorks, a comprehensive K-12 quantum technology and career awareness program developed by Thinking Media. Piloted in Hamilton County QTREX Quantum Ltd. (Nasdaq: QTEX) has secured a commercial purchase order from a leading international government-owned company for customized proprietary Shielded RF Monolithic components.

The Photon Queue has secured a $500,000 grant to build operations in New Mexico. The University of Illinois spinout develops free-space quantum memories that store photonic Sign up to receive our newsletter and other reports.We keep your data private and share your data only with third parties that make this service possible. Read our privacy policy for more info.Check your inbox or spam folder to confirm your subscription. Our MissionContact UsPrivacy PolicyWebsite Terms of UseCopyright 2017-2026 | The Qubit Report | All Rights Reserved

Read Original

Tags

quantum-investment
government-funding
quantum-hardware
bosonq-psi
india-quantum-startups

Source Information

Source: The Qubit Report