Lalana Gurusinghe·3h agoMatrices: the Machines That Move QubitsSubtitle: Quantum Computing & QML, Part 3: gates, observables, eigenvalues and the tensor product, explained as machines that bend arrows
Maxwell's Demon·1d agoCurved Coordinates 012 — The Cross Product and the CurlBuilding both from the Levi-Civita symbol
InTowards AIbyArjun Bhasin·2d agoHow Can Two Matrices of Different Sizes Have the Same Eigenvalues?Why a large eigenvalue problem can be solved through a much smaller matrix.A response icon1A response icon1
Naitik Soni·4d agoDay-2 (Linear Algebra — Vectors, Matrices)Showing how rank is calculated and how the dot product is used
InTowards AIbySamishere·4d agoWhat Happens to a Vector When You Multiply It by a Matrix?How are words, images and movies moving in space?A response icon1A response icon1
Naitik Soni·6d agoDay-1 (Linear Algebra — Vectors, Matrices)A simple introduction to the essence of linear algebra and its concepts.
Doctor Iyer RR·6d agoComputer Science is actually only Higher Order Linear AlgebraProof from GeminiAI
Lalana Gurusinghe·6d agoVectors: the Arrows That Hold a Qubit Quantum Computing & QML,Part 2: vector spaces, bases, the inner product and bra-ket notation, explained as arrows
