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Most quantum algorithms don't need a supercomputer next door, new study finds

Quantum HPC co-location isn't necessary for most hybrid algorithms, a cross-lab study by AWS, NVIDIA, Lawrence Berkeley ...
PNAS

Localized sample-based quantum diagonalization for strongly correlated chemistry

Strongly correlated systems, such as transition-metal complexes, are central to catalysis and energy science, and remain challenging for classical algorithms because their ground states are not ...
Quanta Magazine

Why Computer Scientists Consult Oracles

Pose a question to a Magic 8 Ball, and it’ll answer yes, no or something annoyingly indecisive. We think of it as a kid’s toy, but theoretical computer scientists employ a similar tool. They often ...
Quanta Magazine

Alan Turing and the Power of Negative Thinking

Algorithms have become ubiquitous. They optimize our commutes, process payments and coordinate the flow of internet traffic. It seems that for every problem that can be articulated in precise ...
IEEE

Generalized Non-Orthogonal Joint Diagonalization With LU Decomposition and Successive Rotations

Abstract: Non-orthogonal joint diagonalization (NJD) free of prewhitening has been widely studied in the context of blind source separation (BSS) and array signal processing, etc. However, NJD is used ...
C&EN

Introduction to Computational Chemistry: Teaching Hückel Molecular Orbital Theory Using an Excel Workbook for Matrix Diagonalization

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Europe PMC

Approximate joint diagonalization and geometric mean of symmetric positive definite matrices.

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