---
title: BQP Wins First Federal Contract to Advance Quantum-Assisted AI for Space Domain Awareness
description: BosonQ Psi Federal LLC secures SpaceWERX SBIR contract to develop quantum-assisted machine learning for tracking unknown objects in Earth's orbit.
author: Darie Nani (Editor-in-Chief)
date: 2026-07-18T18:23:52.706Z
updated: 2026-07-18T18:25:32.429Z
canonical: https://www.sovereignmagazine.com/article/bqp-wins-first-federal-contract-to-advance-quantum-assisted-ai-for-space-domain-awareness
image: https://cdn.nanimediahouse.com/desk-img.webp
categories: Artificial Intelligence
content_type: Spotlight
region: New York
publication: Sovereign Magazine
access: members
schema_type: Article
---

BosonQ Psi Federal LLC has secured its first federal government contract, awarded by SpaceWERX through its Open Topic Small Business Innovation Research programme, to develop software that classifies unknown objects in Earth's orbit using quantum-assisted machine learning.

The New York-based defence technology company will build a Physics-Constrained Quantum-Assisted Machine Learning application, known as PC-QAML, designed to run on resource-constrained edge processors without relying on cloud infrastructure or graphics processing units. The contract provides non-dilutive federal funding and establishes the company's entry into the US federal market, with development work conducted in close collaboration with Space Domain Awareness stakeholders.

The challenge the technology addresses is significant in scale. The US Space Surveillance Network collects between 18,000 and 25,000 orbital observations each day. Thousands of those detections cannot be immediately matched to known satellites or debris and are classified as Uncorrelated Tracks. These unidentified objects may represent newly launched satellites, collision fragments, or adversarial systems designed to evade detection. Delays in classifying them reduce operational responsiveness and degrade overall space situational awareness.

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