Symbol A
A is part of the quantity the equation computes from the expression on the right.
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Why this formula appears here
In 2009, Aram Harrow, Avinatan Hassidim, and Seth Lloyd published “Quantum Algorithm for Linear Systems of Equations” in Physical Review Letters . The problem they addressed — given a system A = , estimate some property of the solution rather than compute itself in full — is not framed as a machine-learning problem in the paper. But it is one of the most common subroutines inside machine-learning problems: linear regression, principal component analysis, and support vector machines all reduce, at some stage, to solving or approximating a linear system. Harrow, Hassidim, and Lloyd showed that a quantum computer could estimate certain expectation values built…
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Symbol vecx
vecx is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Symbol vecb
vecb is an input to the expression that computes the quantity on the left.
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Read it with the definitions, units, and assumptions supplied by the article.
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Published contexts (1)
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Equation 4 · Future Hardware
From Origins to Frontier: A History of Post-CMOS, Neuromorphic, Photonic, and Quantum AI Compute
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
In 2009, Aram Harrow, Avinatan Hassidim, and Seth Lloyd published “Quantum Algorithm for Linear Systems of Equations” in Physical Review Letters . The problem they addressed — given a system A = , estimate some property of the solution rather than compute itself in full — is not framed as a machine-learning problem in the paper. But it is one of the most common subroutines inside machine-learning problems: linear regression, principal component analysis, and support vector machines all reduce, at some stage, to solving or approximating a linear system. Harrow, Hassidim, and Lloyd showed that a quantum computer could estimate certain expectation values built…
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