Infleqtion Collaborates with the University of Colorado Boulder to Advance Quantum Sensing with Machine Learning

Infleqtion Collaborates with the University of Colorado Boulder to Advance Quantum Sensing with Machine Learning

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Dr. Anjul Loiacono of Infleqtion discusses the collaboration with the University of Colorado Boulder to advance quantum sensing with machine learning methods.
By Kenna Hughes-Castleberry posted 10 Mar 2023

Colorado is already a growing hub of quantum activity, with key companies like Infleqtion, Atom Computing, Quantinuum, and more in the mountainous region. The state became even more of a quantum computing landmark thanks to the 2022 IEEE Conference held in Broomfield, Colorado where quantum computing companies from around the world came to discuss the latest innovations and network. The Colorado quantum ecosystem is now growing even richer thanks to a recent collaboration between Infleqtion and the University of Colorado Boulder (CU Boulder). This collaboration leverages machine learning to enhance quantum sensing for navigational and positional systems, suggesting huge implications for other industries.

Combining Machine Learning and Quantum Sensing

Infleqtion has already had a long partnership with CU Boulder, as the company was originally started in CU Boulder Professor Dana Anderson’s laboratory back in 2007. Now Anderson is the Chief Strategy Officer of Infleqtion, and continues to foster the partnership between the two organizations to create new advancements.

One of these recent advancements could be big for quantum sensing. Working with Murray Holland at JILA, a joint institute of NIST, and the University of Colorado Boulder; the Infleqtion team investigates an array of ultracold atoms, or atoms kept at nearly 0 Kelvin temperatures. At these near-absolute zero temperatures, quantum interactions can be better manipulated and studied, allowing for more precise measurements in quantum sensing.  A higher precision measurement can lead to being able to detect minute changes in inertial forces, gravity, magnetic fields, and the like. The collaborative team plans to ultimately deploy this technology directly into a plane, vehicle or ship to enhance its navigation. To adapt these quantum sensors even further, the team introduced novel machine learning methods to push measurements to new limits, far beyond what is possible with current technologies.

Colorado Collaboration Bring Better Sensing

This new collaboration revealed significant advancements for quantum sensing, which suggests big applications from navigation and positioning devices to even natural disaster mitigation. “At Infleqtion, we pride ourselves on our long-standing history of developing deployable compact hardware.” said Dr. Anjul Loiacono, VP, Quantum Signal Processing at Infleqtion. “Our expertise in this area is unparalleled, and now, by combining it with the cutting-edge capabilities being developed at CU, we are poised to lead in the field of software-defined quantum sensors, a revolutionary solution for today’s challenges in navigation.”

Kenna Hughes-Castleberry is a staff writer at Inside Quantum Technology and the Science Communicator at JILA (a partnership between the University of Colorado Boulder and NIST). Her writing beats include deep tech, the metaverse, and quantum technology.

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