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 theoryofcomputing.org
Matrix Approximation and Projective Clustering via Volume Sampling: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science
| | processalgebra.blogspot.com
Process Algebra Diary: LIPIcs: Affordable, high-quality and open-access proceedings of conferences in Computer Science
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| | As I hope many members of the theoretical computer science community know, LIPIcs, Leibniz International Proceedings in Informatics, is a s...
| | eccc.weizmann.ac.il
ECCC - TR24-036
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| | Homepage of the Electronic Colloquium on Computational Complexity located at the Weizmann Institute of Science, Israel
| | nickhar.wordpress.com
Lecture 15: Low-rank approximation of matrices | UBC CPSC 536N
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| | 1. Low-rank approximation of matrices Let $latex {A}&fg=000000$ be an arbitrary $latex {n \times m}&fg=000000$ matrix. We assume $latex {n \leq m}&fg=000000$. We consider the problem of approximating $latex {A}&fg=000000$ by a low-rank matrix. For example, we could seek to find a rank $latex {s}&fg=000000$ matrix $latex {B}&fg=000000$ minimizing $latex { \lVert A - B...
| | ashishpanigrahi.com
Hello, World in Qiskit
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| [AI summary] A tutorial introduces quantum computing basics using Qiskit by creating and running a simple 'Hello, World' circuit to demonstrate quantum state measurement.