Infleqtion Awarded $1M U.S. Navy Contract to Advance Quantum Accelerated AI Software for Radio Signal Processing
Infleqtion Awarded $1M U.S. Navy Contract to Advance Quantum Accelerated AI Software for Radio Signal Processing
Infleqtion’s Quantum Inspired Rapid Context (QuIRC) Platform Designed to Expedite Data Analysis and Decision Making in Contested Environments
LOUISVILLE, Colo.--(BUSINESS WIRE)--Infleqtion (NYSE: INFQ), a global leader in quantum computing and quantum sensing powered by neutral-atom technology, announced that the U.S. Navy has awarded the company a $1 million contract to advance its Quantum-Inspired Rapid Context (QuIRC) machine learning software platform for radio frequency (RF) signal processing.
The program will support the development of advanced RF signal processing capabilities that enhance situational awareness in complex RF environments. The Phase II award builds on a successful Phase I feasibility demonstration and will expand the effort to develop an integrated prototype for testing and evaluation in operationally relevant Navy environments.
“Modern RF environments are dense, dynamic, and increasingly difficult to interpret,” said Pranav Gokhale, Chief Technology Officer at Infleqtion. “Our contextual machine learning approach allows systems to understand signals within their operational context, dramatically reducing the data that needs to be stored or transmitted while preserving the information needed for rapid decision-making. This Phase II award allows us to advance QuIRC from feasibility to a deployable capability that can support mission-critical situational awareness.”
QuIRC is a context-aware, self-learning data pre-processing platform designed to enable analysis and decision-making across high-throughput RF data streams. The platform is powered by Infleqtion’s patent-pending GPU-hosted Contextual Machine Learning (CML) technology, which enables machine learning models to capture contextual correlations across large RF datasets while significantly reducing computational and storage requirements.
In previous demonstrations with the Navy, Infleqtion validated significant reductions in RF signal storage requirements while maintaining high accuracy in downstream signal analysis tasks. With Infleqtion’s new contract, the team will expand the platform by introducing self-learning capabilities that dynamically adapt QuIRC based on contextual feedback. Infleqtion was the only company from Phase I selected to advance to Phase II.
To learn more about Infleqtion’s contextual machine learning technology and its applications, visit www.infleqtion.com.
About Infleqtion
Infleqtion, Inc. (NYSE: INFQ) is a global leader in quantum technology, delivering neutral atom solutions for quantum computing, networking, sensing, and security. With a product portfolio spanning quantum computers, quantum optical clocks, RF receivers, and inertial sensors, Infleqtion’s full-stack approach combines high-performance hardware with the company’s proprietary Superstaq quantum computing software platform. Infleqtion’s systems are already in use by the U.S. Department of War, NASA, the U.K. government, and in multiple collaborations with NVIDIA. Infleqtion, in collaboration with NVIDIA, published the world’s first demonstration of a materials science application using logical qubits. With operations in the U.S., Europe, and Asia, Infleqtion meets the demands of government and commercial customers across the space, defense, energy, finance and telecommunications sectors. For more information, visit Infleqtion.com or follow Infleqtion on LinkedIn, YouTube, and X.
Contacts
Leigh Rosenwald
Voxus PR
infleqtion@voxuspr.com
