Single-shot matrix-matrix photonic processor based on spatial-spectral hypermultiplexed parallel diffraction

by RLE at MIT | Jan 23, 2026 | News Links, RLE Recent Papers

Artwork by Sampson Wilcox Chao Luan, Ronald Davis III, Zaijun Chen, Dirk Englund & Ryan Hamerly DOI: 10.1038/s41467-026–68452‑x Abstract: The ever-increasing data demand craves advancements in high-speed and energy-efficient computing...

Disaggregated machine learning via in-physicscomputing at radio frequency

by RLE at MIT | Jan 14, 2026 | RLE Recent Papers

Artwork by Sampson Wilcox Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Englund, Tingjun Chen DOI: 10.1126/sciadv.adz0817 Abstract: Modern edge devices, such as cameras, drones, and internet-of-things nodes, rely on machine learning to enable a wide...

Quantum Photonics and AI Group Achieves Breakthrough in Controlling Silicon Color Centers for Scalable Quantum Technologies

by RLE at MIT | Oct 8, 2025 | News Links

The Quantum Photonics and AI Group at MIT’s Research Laboratory of Electronics (RLE) has developed a groundbreaking method to both control and localize atomic-scale defects in silicon—known as color centers—that act as single-photon sources for quantum communication...

RLE Team Awarded NSF National Quantum Virtual Laboratory Grant

by RLE at MIT | Sep 10, 2025 | News Links

RLE Team Awarded NSF National Quantum Virtual Laboratory Grant: MIT, under the leadership of Professor Dirk Englund, is central to one of the four NSF-funded design teams developing the National Quantum Virtual Laboratory. The project is co-led by Englund...

Developing 3D Models of Atom-Like Defect Spin Memories in Crystals for Quantum Technology Research and Education

by RLE at MIT | Jul 26, 2024 | RLE Recent Papers, Uncategorized

Yong Hu, Steven Nagle, Yuqin Duan, Hanfeng Wang and Dirk Englund https://doi.org/10.1021/acs.jchemed.4c00343 Abstract: The development of quantum technologies, including quantum computers and networks, requires entanglement distribution across individually...