Quantum Engineering

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Engineers discover a new way to control atomic nuclei as “qubits”
Using lasers, NSE's Ju li, Paola Cappellaro, Haowei Xu and other researchers can directly control a property of nuclei called spin, that can encode quantum information.
The task of magnetic classification suddenly looks easier
Knowing the magnetic structure of crystalline materials is critical to many applications, including data storage, high-resolution imaging, spintronics, superconductivity, and quantum computing. Information of this sort, however, is difficult to come by. Although magnetic structures can be obtained from neutron diffraction and...
A faster experiment to find and study topological materials
NSE’s Mingda Li and a team of researchers from MIT, Harvard, Princeton and ANL have shown that Using machine learning and simple X-ray spectra, can uncover compounds that might enable next-generation computer chips or quantum devices.
NSE’s Nuno Loureiro elected as fellow of the American Physical Society
One of six from MIT elected this year, Prof Nuno Loureiro is recognized for “transformative contributions to the theory of magnetic reconnection and for elucidating the fundamental role of hierarchical reconnection phenomena in plasma turbulence, with broad applications in laboratory, space, and astrophysical systems.”
New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Quantum sensor can detect electromagnetic signals of any frequency
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
2022 NSE Research Expo
Friday, April 1, 2022. 1:00 PM – 3:20 PM ET Koch Institute, 500 Main Street first floor Main Corridor and Galleries and Auditorium 76-156 The MIT Department of Nuclear Science and Engineering held its annual Research Expo on April 1, 2022. The...
Seeing an elusive magnetic effect through the lens of machine learning
MIT researchers discovered hidden magnetic properties in multi-layered electronic material by analysing polarized neutrons using neural networks. Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, “topological materials,”...
Mining valuable insights from diamonds
If Changhao Li were to trace the origins of his love of nature, he would point to the time when he was nine, observing the night sky from his childhood home in the small town of Jinan, China. “At that moment I...
An Urgent Call to Action on Climate Change Lays Foundation for New Strategic Plan from MIT's Department of Nuclear Science & Engineering
The call to action in the face of rapidly accelerating climate change is growing louder than ever. MIT’s Department of Nuclear Science & Engineering (NSE) is uniquely positioned to address this global challenge. It continues to spearhead mitigation and remediation efforts through...