-
RAP opportunity at National Institute of Standards and Technology NIST Neuromorphic Computing and Artificial Intelligence Hardware Location Physical Measurement Laboratory, Quantum
-
NIST only participates in the February and August reviews. Superconducting qubits are among the leading hardware platforms for quantum information processing, but the lack of sufficient qubit
-
the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
-
dynamics of spin-qubit arrays. In the later stages of the effort, we investigate the correlations between the hardware noise contribution to the overall fidelity and gate performance to inform the control
-
markets spaces that include self-driving cars and augmented reality. At the hardware level, the most advanced devices will rely on millimeter-wave (30 GHz to 300 GHz) circuits that combine low-cost Si chips
-
of emerging devices. The ultimate goal is to explore the landscape of emerging hardware-based artificial intelligence systems to better understand the role played by measurement and metrology in these complex
-
by taking advantage of advancements in hardware and new neural network frameworks such as Recurrent Neural Networks and Transformers. We are now interested in synthesizing these advancements with other
-
. Representative research areas of interest in systems biology and medicine are standards for sharing data across different hardware, software, operating systems, etc; tools that will aid in data collection at a