QCi, an integrated photonics and quantum optics technology company, announced that the Company has been awarded a subcontract with a ceiling value of $406,478 to support the National Aeronautics and Space Administration’s (NASA) Langley Research Center through the development of an innovative quantum computing technique for removal of solar noise from space lidar data. QCi received the subcontract award through Analytical Mechanics Associates (“AMA”), a prime contractor on the RSES IDIQ vehicle. The subcontract is time and materials, and the period of performance ends May 31, 2026.
Using QCi’s latest Dirac-3 quantum computer, the Company will develop and test quantum computing techniques to identify and remove sunlight noise in space LiDAR data. This will help NASA obtain adequate signal-to-noise ratio (SNR) even in daytime measurements. So far, the sunlight noise is a major obstacle facing NASA in obtaining reliable atmospheric sensing and Earth observation data during daytime. Existing approaches to increasing the SNR require the use of optics hardware with excessive size and power parameters, which drive up the weight and mission costs. QCi’s approach leverages the unique capabilities of its quantum optimization machine to improve SNR without increasing physical payload size, weight or power requirements.
“This award expands on the work QCi has performed on several previous NASA subcontracts and underscores the growing credibility QCi has earned as a trusted partner in quantum innovation for leading government and research institutions,” said Dr. William McGann, CEO of QCi. “Our goal is to deliver a quantum-based denoising solution that could materially reduce the cost and complexity of space-based LiDAR missions. By enabling efficient and accurate data collection during daytime operations, this project has the potential to transform how we approach climate and atmospheric science from space. QCi’s quantum machines are already solving complex, real-world problems today, demonstrating the practical impact of our technology.”
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