Quantum Sensors, Space

Monarch Quantum helps Infleqtion build NASA’s gravity sensor for space

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October 20, 2026 by Ivy Delaney

Infleqtion will advance development of the first space-based Earth quantum gravity gradient sensor following a $20 million contract from NASA. Led by NASA’s Jet Propulsion Laboratory, the Quantum Gravity Gradiometer Pathfinder (QGGPf) mission aims to measure subtle variations in Earth’s gravitational field to provide new insight into groundwater, ice and natural resources. “NASA’s continued investment in this pathfinder mission validates the progress being made to move quantum sensing beyond the laboratory and into demanding operational environments,” said Tim Day, Chief Executive Officer and Chairman of Monarch Quantum, which supplies integrated photonics hardware for the project.

Infleqtion Advances NASA’s Quantum Gravity Gradiometer Pathfinder

Monarch Quantum is supplying integrated photonics hardware critical to the next phase of NASA’s Quantum Gravity Gradiometer Pathfinder (QGGPf) mission, following a $20 million contract awarded to Infleqtion. This hardware delivers the precise, stable light necessary for the sensor’s performance, moving the project from design into active hardware development and testing. The resulting data could support planetary science, environmental resilience efforts and inform national security decision-making, expanding Earth observation capabilities.

Monarch Quantum’s role focuses on managing the photonic complexity inherent in quantum systems, allowing Infleqtion to concentrate on core physics and sensor architecture. Day explained that bringing together atomic physics, photonics, electronics, packaging, manufacturing, and rigorous qualification is essential for translating laboratory results into operational systems, and this mission is an important example of the U.S. quantum ecosystem working across that full value chain. NASA and Infleqtion currently anticipate completing instrument hardware development with a projected launch date of 2030, a timeline dependent on continued successful integration of these complex subsystems.

NASA’s continued investment in this pathfinder mission validates the progress being made to move quantum sensing beyond the laboratory and into demanding operational environments.

Tim Day, Chief Executive Officer and Chairman of Monarch Quantum
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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