BosonQ Psi Federal LLC Wins SpaceWERX Contract to Advance Quantum-Assisted AI for Space Tracking

Key Takeaways

• BosonQ Psi Federal LLC secured a SpaceWERX SBIR award to develop quantum-assisted AI for identifying unknown objects in orbit.
• The award strengthens ongoing U.S. Space Force efforts to handle rapid growth in orbital traffic and uncorrelated track classification.
• Rising defense demand for space domain awareness and quantum-enabled AI underscores the strategic timing of the Physics-Constrained Quantum-Assisted Machine Learning (PC-QAML) approach.

BosonQ Psi Federal LLC has landed its first federal contract through the SpaceWERX Open Topic Small Business Innovation Research (SBIR) program. As orbital traffic surges, mission operators face an environment where identifying unknown or uncorrelated tracks has become a daily challenge. The award provides a formal path to validate and refine the Physics-Constrained Quantum-Assisted Machine Learning (PC-QAML) platform for operational space domain awareness (SDA).

The global space domain awareness and space surveillance market is projected to reach roughly $1.5 billion to $2 billion by 2030, driven by congestion in low Earth orbit, according to data from Euroconsult and the OECD Space Economy 2024 report. The expansion of commercial constellations is pushing the U.S. Space Force to track more than 48,000 objects today. As that number climbs, specialized AI that reduces model size while maintaining accuracy is becoming a priority.

The system addresses these constraints by merging physics-based modeling with quantum-inspired algorithms designed to run on space-qualified processors. This allows the platform to function without relying on cloud compute or heavy GPU infrastructure, meeting the strict power and communication limits of orbital satellites.

According to an IT-Boltwise report, this approach aims to reduce AI model size by up to 99% while maintaining >99% classification accuracy for uncorrelated tracks. This compression-to-accuracy ratio makes onboard autonomy more feasible, enabling faster inference to support operations where unknown objects move rapidly through observation fields.

The award places BQP inside a growing Department of Defense ecosystem leveraging quantum-assisted AI for sensing and optimization tasks. According to McKinsey, quantum technologies could create up to $1.3 trillion in value across defense and aerospace by 2035. The quantum computing market itself is forecast by analyst groups, including IDC, to grow at a >30% compound annual growth rate through 2030. SpaceWERX is funding multiple approaches in this sector, awarding contracts to several companies, including Ali Innovation Inc., which is also developing automated SDA applications.

Emerging regulatory and standards frameworks are influencing these developments. The NIST AI Risk Management Framework is increasingly referenced in defense AI projects, providing guidance for evaluating algorithmic trustworthiness and reliability in mission systems. Additionally, NIST’s Post-Quantum Cryptography program is shaping how AI models transition to quantum-assisted designs, making cryptographic interoperability a core requirement for aerospace engineering.

The company's founder and CTO noted a goal to make advanced AI workable on satellites and forward-deployed systems that lack constant access to large compute nodes. This reflects a strategic movement toward edge autonomy inside the U.S. Space Force and other military branches. Enabling satellites to classify anomalies and predict behaviors without round-trip latency to ground stations gives operators greater resilience during unexpected orbital events.

The organization has previously engaged with the Space Domain Awareness Tap Lab and supported mission objectives for Space Operations Command Mission Delta 2 and Space Systems Command. These existing engagements with operational units provide a foundation for accelerating the SBIR project's implementation.

While quantum hardware remains in an early stage, hybrid and quantum-inspired techniques are advancing rapidly. The SpaceWERX award provides a controlled environment to validate model compression and accuracy claims in flight-like conditions, potentially influencing how the Space Force evaluates future onboard AI architectures.

The Department of Defense has pushed its AI-related R&D spending above $2 billion annually, according to analysis by the U.S. Government Accountability Office. Space operations, particularly command-and-control and battlespace awareness functions, are explicitly designated as priority areas for this funding.

This contract aligns with a broader aerospace shift from deterministic logic to probabilistic models and quantum-enhanced workflows. As commercial proliferation, defense urgency, and emerging quantum capabilities converge, the validation of PC-QAML in real-world conditions will indicate whether these quantum-assisted approaches can scale to manage an increasingly crowded orbital environment.