Quantum complexity theory | Quantum algorithms | Computational complexity theory
The hidden linear function problem, is a search problem that generalizes the Bernstein–Vazirani problem. In the Bernstein–Vazirani problem, the hidden function is implicitly specified in an oracle; while in the 2D hidden linear function problem (2D HLF), the hidden function is explicitly specified by a matrix and a binary vector. 2D HLF can be solved exactly by a constant-depth quantum circuit restricted to a 2-dimensional grid of qubits using bounded fan-in gates but can't be solved by any sub-exponential size, constant-depth classical circuit using unbounded fan-in AND, OR, and NOT gates.While Bernstein–Vazirani's problem was designed to prove an oracle separation between complexity classes BQP and BPP, 2D HLF was designed to prove an explicit separation between the circuit classes and. (Wikipedia).
Define linear functions. Use function notation to evaluate linear functions. Learn to identify linear function from data, graphs, and equations.
From playlist Algebra 1
Define a linear function. Determine if a linear function is increasing or decreasing. Interpret linear function models. Determine linear functions. Site: http://mathispower4u.com
From playlist Introduction to Functions: Function Basics
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From playlist Differential Equations
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New Version: https://youtu.be/q6y0ToEhT1E Define an inverse function. Determine if a function as an inverse function. Determine inverse functions. http://mathispower4u.wordpress.com/
From playlist Exponential and Logarithmic Expressions and Equations
How to Determine if Functions are Linearly Independent or Dependent using the Definition
How to Determine if Functions are Linearly Independent or Dependent using the Definition If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Th
From playlist Zill DE 4.1 Preliminary Theory - Linear Equations
Determine if the Functions are Linearly Independent or Linearly Dependent
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys How to determine if three functions are linearly independent or linearly dependent using the definition.
From playlist Differential Equations
Introduction to Linear Functions and Slope (L10.1)
This lesson introduces linear functions, describes the behavior of linear function, and explains how to determine the slope of a line given two points. Video content created by Jenifer Bohart, William Meacham, Judy Sutor, and Donna Guhse from SCC (CC-BY 4.0)
From playlist Introduction to Functions: Function Basics
Pre-Calculus - Solve a linear equation that has no solution
This video shows an example of a linear equation that has no solution. Note how the variables drop away entirely and the statement left over is completely false. That is the clue there is no solution. For more videos please visit http://www.mysecretmathtutor.com
From playlist Pre-Calculus - Linear Functions
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This video is about Linear Programming - Explanation and Example
From playlist Optimization
Recurrent Neural Networks : Data Science Concepts
My Patreon : https://www.patreon.com/user?u=49277905 Neural Networks Intro : https://www.youtube.com/watch?v=xx1hS1EQLNw Backpropagation : https://www.youtube.com/watch?v=kbGu60QBx2o 0:00 Intro 3:30 How RNNs Work 18:15 Applications 21:06 Drawbacks
From playlist Time Series Analysis
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From playlist Virtual Conference
Kaggle Reading Group: Neural Networks and Neural Language Models | Kaggle
Join Kaggle Data Scientist Rachael as she reads through an NLP paper! Today's paper is the chapter "Neural Networks and Neural Language Models" from "Speech and Language Processing" by Daniel Jurafsky & James H. Martin. This chapter is new to the currently-in-progress edition of the book,
From playlist Kaggle Reading Group | Kaggle
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From playlist GSS2012: Deep Learning, Feature Learning
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From playlist Data Science Concepts
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From playlist Statistical Learning
Explainable Neural Networks based on Additive Index Models | TDLS
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From playlist Explainability and Ethics
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From playlist Machine Learning
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From playlist Is it a polynomial or not?
Applied Machine Learning 2019 - Lecture 20 - Neural Networks
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From playlist Applied Machine Learning - Spring 2019