ABSTRACT: A quantum bit computing architecture includes a plurality of single spin memory donor atoms embedded in a semiconductor layer, a plurality of quantum dots arranged with the semiconductor layer and aligned with the donor atoms, wherein a first voltage applied across at least one pair of the aligned quantum dot and donor atom controls a donor-quantum dot … [Read more...] about Scalable Quantum Computer Architecture with Coupled Donor-Quantum Dot Qubits IB-3140
Search Results for: quantum
Quantum Dot Based Cell Motility, Invasion, and Metastasis Assays IB-1755
APPLICATIONS OF TECHNOLOGY: Rapid method for assaying metastatic potential in biopsies Cancer drug development Research on cell motility ADVANTAGES: More photochemically robust than organic dyes Less labor intensive than the Boyden Chamber invasion assay Can be used with live cells no fixation/processing required Allows for real time variation of external … [Read more...] about Quantum Dot Based Cell Motility, Invasion, and Metastasis Assays IB-1755
High Quantum Efficiency Charge-Coupled Device IB-1204a
APPLICATIONS OF TECHNOLOGY: Low-level light imaging (Astronomical research, Raman Spectroscopy) ADVANTAGES: Back illuminated High near-IR quantum efficiency without fringing Excellent broadband wavelength response Fully depleted for improved spatial resolution Simplified fabrication Superior radiation hardness ABSTRACT: Stephen Holland at Berkeley … [Read more...] about High Quantum Efficiency Charge-Coupled Device IB-1204a
Intellectual Property Office Announces Berkeley Lab Inventors and Developers of the Year for FY2024
Technology transfer is a critical part of the Lab’s mission, “creating science solutions for the world.” On January 22, the Intellectual Property Office (IPO) hosted a Lab-wide Innovation Celebration to celebrate the Lab innovators whose inventions and software are making their way into the world. “Across the Lab, many researchers are working on technologies that … [Read more...] about Intellectual Property Office Announces Berkeley Lab Inventors and Developers of the Year for FY2024
Superconducting Tsetlin Machines for Efficient Deep Neural Networks 2024-078
Applications of Technology: High-speed, low-power processing for deep neural networks Deep learning for resource constrained applications Image analysis and digit recognition Benefits: Ultra-low power consumption High processing speeds Less memory required than other ML models (useful for cold temperatures) Interpretability of model decisions … [Read more...] about Superconducting Tsetlin Machines for Efficient Deep Neural Networks 2024-078