artificial intelligence
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New research unites quantum engineering and artificial intelligence
A team of researchers at Argonne National Laboratory, University of Chicago and other institutions shows how incorporating quantum computing into the classical machine-learning process can potentially help make machine learning more sustainable and efficient. Read More
In the News
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Uncovering the hidden disorder in silicon quantum computers
From the U.S. Department of Energy: Q-NEXT researchers map the variation in materials to the atom level to scale up silicon qubits Read More
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Neutral atom computers: the physics of Rydberg quantum gates | Mark Saffman
From 632nm: Mark Saffman, professor at the University of Wisconsin–Madison and chief scientist at Infleqtion, discusses the physics of optical tweezers and Rydberg gates, how neutral atoms perform quantum logic and create entanglement, and why this platform offers advantages in connectivity and scalability. Read More
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Prof. Giulia Galli appointed CNRS Fellow-Ambassador
From the University of Chicago: With the appointment, Galli joins a prestigious cohort of leading figures from the world’s scientific community. Read More
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Tuning into quantum sounds
From Caltech: Researchers at Caltech and Stanford University, including Stanford's Amir Safavi-Naeini, create tiny vibrating devices that can naturally display quantum behavior without needing an external quantum circuit. By harnessing microscopic defects already present in the material, the team achieved single-phonon nonlinear effects that could enable simpler quantum sensors capable of detecting and studying individual molecules with extraordinary sensitivity. Read More
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Illinois touts growing quantum workforce as state shows industry leadership
From NPR Illinois: Q-NEXT Workforce Development Lead Emily Easton discusses the growing quantum education and workforce ecosystem in Illinois. Read More