Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Abstract: This work introduces a novel approach for predicting the complex element weights of a rectangular planar phased array for a desired beam pattern using physics-aware convolutional neural ...
Abstract: Homomorphic Encryption (HE) promises robust privacy security for offloading computation, but the complex polynomial operations challenge its deployment in IoT client. In this work, we ...
We describe a concrete device roadmap towards a fault-tolerant quantum computing architecture based on noise-resilient, topologically protected Majorana-based qubits. Our roadmap encompasses four ...
Aggregate functions help turn large datasets into simple summaries used across many fields. GROUP BY and HAVING allow structured grouping and filtering of data for clearer reports. Functions like ...