Google’s system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses. They avoid repeated ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...

SC'24: The International Conference for High Performance Computing, Networking, Storage, and Analysis This work extends Quantum Framework (QFw) by integrating it with Northwest Quantum Simulator ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

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The study of many-body quantum systems out of equilibrium remains a significant challenge, with complexity barriers arising in both state- and operator-based representations. Here, we review the ...

A team of researchers has reached a major milestone in quantum computing by successfully simulating Google’s 53-qubit, 20-layer Sycamore quantum circuit. This was accomplished using 1,432 NVIDIA A100 ...

The Symbolic Tensor Graph is a generator for Chakra Execution Trace (ET) files. This tool is designed to generate synthetic workload traces for use in parallel strategy exploration without gathering ...

Abstract: Tensor networks can compactly represent high-dimensional data in the form of low-rank tensor decompositions, which helps capture complex structures and correlations within the data. However, ...