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Free Download Udemy - Mathematical Foundations of Quantum Computing Published: 3/2025 Created by: Dr. Rafael Santos MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 55 Lectures ( 7h 56m ) | Size: 2.1 GB A set of fundamental mathematical tools for Quantum Computing What you'll learn Linear Algebra Qubits Inner Product Linear Operators Commutation Unitary Matrices Hermitian Matrices Eigenvalues and Eigenvectors Tensor Product Entanglement Postulates of Quantum Theory Quantum Circuits Teleportation Protocol Requirements Familiarity with high school-level mathematics (functions, matrices, probability, vectors, geometry, trigonometry, and complex numbers) Mathematical curiosity! Description Master the mathematical tools behind quantum computing and build a solid foundation for understanding quantum algorithms and quantum information theory.This course explores the fundamental mathematical concepts behind quantum computing, with a strong focus on their relevance to quantum physics. It starts with formal definitions and simple examples to build intuition, then revisits key topics while adding new layers of information - ensuring a clear and structured learning path. You will develop a deep understanding of the mathematical foundations of quantum computing, particularly through the lens of linear algebra tailored to quantum systems. I provide detailed proofs of important properties and explain the core ideas in an intuitive way to give you deeper insights and future problem-solving skills.What makes this course unique:Strong focus on the mathematical theory behind quantum computingFormal definitions motivated by their relevance in quantum computing and explained through several examplesStep-by-step solutions to exercises proposed during the lecturesMore than 60 conceptual multiple-choice questions across 11 quizzes for knowledge reinforcementLearning Strategy:This course can feel dense depending on your background, but a helpful strategy is to focus on the examples. Understanding concrete examples is key to grasping the meaning of abstract concepts. You're encouraged to pause the lectures, review the calculations, work through the examples, and then return to the more abstract material. Taking time to reflect and using a back-and-forth approach will help you build both knowledge and intuition.Once you've mastered these concepts, navigating the field of quantum computing will become much smoother. My goal is to equip you with a solid understanding of the mathematical techniques widely used in quantum theory and quantum computing. Who this course is for Beginner: Anyone curious about the mathematical background of quantum computing! Advanced: Students, programmers, and engineers interested in deepening their understanding of quantum computing! Homepage: https://www.udemy.com/course/mathematical-foundations-of-quantum-computing/ [b]AusFile[/b] https://ausfile.com/mb7w1850jnx1/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part1.rar.html https://ausfile.com/vt7bncliwa73/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part2.rar.html https://ausfile.com/m84x9uxs3z6a/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part3.rar.html Rapidgator https://rg.to/file/9d3459f1a84dfcef5a3b98418c2e712b/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part1.rar.html https://rg.to/file/a701babcd4707237034ab577affdc3a6/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part2.rar.html https://rg.to/file/5f2a6776c9132ea9fc9adba2945662a1/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part3.rar.html Fikper Free Download https://fikper.com/0Rv9cStQPd/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part1.rar.html https://fikper.com/iwfWTPMDCw/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part2.rar.html https://fikper.com/ACJNuyhT88/rbvsh.Mathematical.Foundations.of.Quantum.Computing.part3.rar.html No Password - Links are Interchangeable

mp3, pdf, epub | 223.99 MB | English| Isbn:9780385350495 | Author: Max Tegmark | Year: 2014 Description: Category:Science & Technology, Astronomy, Mathematics, Physics, Cosmology, Mathematics - General & Miscellaneous, Physics - General & Miscellaneous https://ddownload.com/vrvlkt63t560 https://rapidgator.net/file/b8d6718e9f81397002842c7376671700/ https://nitroflare.com/view/B2DAFD357EF344E/

Coursera - Introduction to Mathematical Philosophy English | 2015 | mp4 | H264 960x540 | AC 2 ch | pdf | 1.49 GB eLearning Learn how to apply mathematical methods to philosophical problems and questions. Since antiquity, philosophers have questioned the foundations--the foundations of the physical world, of our everyday experience, of our scientific knowledge, and of culture and society. In recent years, more and more young philosophers have become convinced that, in order to understand these foundations, and thus to make progress in philosophy, the use of mathematical methods is of crucial importance. This is what our course will be concerned with: mathematical philosophy, that is, philosophy done with the help of mathematical methods. As we will try to show, one can analyze philosophical concepts much more clearly in mathematical terms, one can derive philosophical conclusions from philosophical assumptions by mathematical proof, and one can build mathematical models in which we can study philosophical problems. So, as Leibniz would have said: even in philosophy, calculemus. Let's calculate. Course Syllabus Week One: Infinity (Zeno's Paradox, Galileo's Paradox, very basic set theory, infinite sets). Week Two: Truth (Tarski's theory of truth, recursive definitions, complete induction over sentences, Liar Paradox). Week Three: Rational Belief (propositions as sets of possible worlds, rational all-or-nothing belief, rational degrees of belief, bets, Lottery Paradox). Week Four: If-then (indicative vs subjunctive conditionals, conditionals in mathematics, conditional rational degrees of belief, beliefs in conditionals vs conditional beliefs). Week Five: Confirmation (the underdetermination thesis, the Monty Hall Problem, Bayesian confirmation theory). Week Six: Decision (decision making under risk, maximizing xpected utility, von Neumann Morgenstern axioms and representation theorem, Allais Paradox, Ellsberg Paradox). Week Seven: Voting (Condorcet Paradox, Arrows Theorem, Condorcet Jury Theorem, Judgment Aggregation). Week Eight: Quantum Logic and Probability (statistical correlations, the CHSH inequality, Boolean and non-Boolean algebras, violation of distributivity) Recommended Background We will not presuppose more than bits of high school mathematics. Suggested Readings We will give you lists of additional references later in the course. Download From NitroFlare http://www.nitroflare.com/view/46BE6FA62F68BE6/xidau123_Mat_Phi.part1.rar http://www.nitroflare.com/view/23B77156F34592E/xidau123_Mat_Phi.part2.rar http://www.nitroflare.com/view/C340EBCEB3C524D/xidau123_Mat_Phi.part3.rar Download From Rapidgator http://rapidgator.net/file/4feba14c2b00210bc59c4368f47a8350/xidau123_Mat_Phi.part1.rar.html http://rapidgator.net/file/f63d6184e40fa1347440dcde6738de18/xidau123_Mat_Phi.part2.rar.html http://rapidgator.net/file/4f3e194ab001b44aadb3b3a9c4f60abb/xidau123_Mat_Phi.part3.rar.html

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