Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
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 ...
You can use the pydna_repeatfinder command to find repeats in a fasta sequence. By default, pydna_repeatfinder just prints the repeats in a simple tab-separated format that is easy to read and ...
Abstract: Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a variety of downstream tasks, such as ...
Abstract: This letter introduces a new refined optimization strategy to achieve the pencil/shaped beam pattern synthesis of uniform amplitude rotated linear aperiodic array including the mutual ...
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