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pdf | 29.32 MB | English| Isbn:1119933900 | Author: whurley, Floyd Earl Smith | Year: 2023 Description: Category:Computer Technology, Science, Nonfiction AusFile RapidGator https://rapidgator.net/file/6d2a592477eab782a2311e50234094ba/yxusj.Quantum.Computing.For.Dummies.rar https://ausfile.com/0ijjtpgrv6om/yxusj.Quantum.Computing.For.Dummies.rar

Free Download Udemy - Quantum Computing on AWS for Beginners - Amazon Braket Published 4/2025 Created by Kane Yoshioka MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 23 Lectures ( 2h 21m ) | Size: 880 MB Learn the Basics of Quantum Computing, Quantum Programming, and AWS's Quantum Computing Service, Amazon Braket What you'll learn Learning the fundamentals of quantum computing Learning the basics of Amazon braket, quantum computing service by AWS Creating quantum circuits using Amazon braket SDK, Qiskit and pennylane Executing created quantum circuits using Amazon braket Knowledge of Grover's algorithm and how to execute it Knowledge of quantum machine learning algorithm and how to execute it Requirements High school-level mathematics No quantum computing experience needed. You will learn everything you need to know. Description Let's start learning about quantum computers and AWS's quantum computing services with this course! No prior knowledge of quantum computers or experience with AWS is required. By taking this course, you will go from knowing nothing about quantum computers to understanding quantum computing and quantum programming, and ultimately learn how to execute Grover's algorithm and quantum machine learning algorithms on AWS.With the announcement of quantum computing architectures such as Google's Willow, Microsoft's Majorana 1, and AWS's Ocelot, the development of quantum computers is accelerating. As a result, the demand for quantum technologists who can handle quantum computers is increasing. AWS offers a quantum computing service called Amazon Braket. Amazon Braket makes it easy to develop programs for quantum computers and execute algorithms on quantum computers provided by many providers, including AWS managed simulators, making it a very powerful quantum computing service.By taking this course, you can deepen your knowledge of quantum computers and Amazon Braket from scratch.Furthermore, the benefits of using these practice exams include the following:Detailed Explanation: The course explains the basics of quantum computers, making it easy for beginners to acquire knowledge about quantum computers.Use of Quizzes: Quizzes are provided at the end of each section to ensure that you acquire skills related to quantum computers.Mobile-Friendly: Designed for mobile devices, this course allows you to study conveniently on the go. Whether you're commuting or taking a break, you can access them anytime, anywhere using your smartphone.Responsive Instructor Support: If you have questions, our instructor will respond proactively.This course is suitable for:Those who want to start learning about quantum computersThose who want to acquire skills in AWS's quantum computing serviceThose who want to learn about quantum machine learning algorithms and Grover's algorithmNote: Creating and using AWS resources may incur charges. Please check AWS's pricing structure and use it at your own responsibility. We cannot be held responsible for any charges incurred. Make good use of AWS's free tier! Who this course is for For those who want to start learning quantum computing For those who want to develop skills in quantum computing services on AWS For those who want to learn quantum algorithms such as quantum machine learning algorithms and Grover's algorithm Homepage https://www.udemy.com/course/quantum-computing-on-aws-for-beginners-amazon-braket/ [b]AusFile[/b] https://ausfile.com/wg45szbiwd7t/edflw.Quantum.Computing.on.AWS.for.Beginners.Amazon.Braket.rar.html Rapidgator https://rg.to/file/0d3b66a45afd9c6c5908ea381f67fa6d/edflw.Quantum.Computing.on.AWS.for.Beginners.Amazon.Braket.rar.html Fikper Free Download https://fikper.com/9MgbIQyrh6/edflw.Quantum.Computing.on.AWS.for.Beginners.Amazon.Braket.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - Foundations of Computing Operating Systems Released 4/2025 By Filip Ekberg MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m | Size: 262 MB Ever wondered what it takes to build an operating system? Then you've found the right course! This course will teach you about the internals of an operating system and how all its components work together. What happens in the background when you press a key on your keyboard and an application awaits your input? In this course, Foundations of Computing: Operating Systems, you'll learn all about the internals of an operating system. First, you'll explore the components required in building an operating system and how they are tied together. Next, you'll discover how processes, files, and memory are all managed. Finally, you'll learn what an operating system needs to take into consideration when it comes to security. When you're finished with this course, you'll have the skills and knowledge of operating systems needed to fully understand how operating systems are implemented and work. Homepage https://app.pluralsight.com/library/courses/foundations-computing-operating-systems/table-of-contents [b]AusFile[/b] https://ausfile.com/vti2t3hv7hmo/dhccd.Pluralsight..Foundations.of.Computing.Operating.Systems.rar.html Fileaxa https://fileaxa.com/9cc5nzp95xea/dhccd.Pluralsight..Foundations.of.Computing.Operating.Systems.rar TakeFile https://takefile.link/492g7euctf0v/dhccd.Pluralsight..Foundations.of.Computing.Operating.Systems.rar.html Rapidgator http://peeplink.in/fa16f3d0a1e4 Fikper Free Download https://fikper.com/0WMeflJvYg/dhccd.Pluralsight..Foundations.of.Computing.Operating.Systems.rar.html No Password - Links are Interchangeable

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Free Download Pluralsight - Virtualization and Cloud Computing for CompTIA A+ Core 1 (220-1201) Released 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 11m | Size: 226 MB Virtualization and cloud computing are integral components of any organization's IT strategy. This course will teach you the basics and benefits of how to efficiently utilize both virtualization and cloud computing. Every successful IT strategy today uses a mix of virtualization and cloud computing to deliver resources to users. In this course, Virtualization and Cloud Computing for CompTIA A+ Core 1 (220-1201), you'll learn foundational knowledge on how to successfully use both virtualization and cloud computing. First, you'll discover what virtualization is and what the benefits are. Next, you'll explore how cloud computing works and why every organization today uses it. Finally, you'll learn the different types of cloud deployment models that are available and learn which one is the best for each scenario. When you're finished with this course, you'll have the skills and knowledge of virtualization and cloud computing needed to start specializing in a specific vendor, and for the CompTIA A+ exam. Homepage: https://www.pluralsight.com/courses/virtualization-cloud-computing-comptia-aplus-core1-220-1201-cert [b]AusFile[/b] https://ausfile.com/yrlthqp67h5b/thkfy.Pluralsight..Virtualization.and.Cloud.Computing.for.CompTIA.A.Core.1.2201201.rar.html Fileaxa https://fileaxa.com/ghc07cwjkyr1/thkfy.Pluralsight..Virtualization.and.Cloud.Computing.for.CompTIA.A.Core.1.2201201.rar TakeFile https://takefile.link/4sf1balvgqlb/thkfy.Pluralsight..Virtualization.and.Cloud.Computing.for.CompTIA.A.Core.1.2201201.rar.html Rapidgator http://peeplink.in/f3ccbbaea5e8 Fikper Free Download https://fikper.com/J8VBEuPEj1/thkfy.Pluralsight..Virtualization.and.Cloud.Computing.for.CompTIA.A.Core.1.2201201.rar.html No Password - Links are Interchangeable

Free Download Udemy - The Complete Quantum Computing Course With Python [2025] Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.01 GB | Duration: 7h 30m Qubit, quantum gates, quantum circuits, quantum mechanics, Deutsch-Jozsa Algorithm, Grover's Algorithm, quantum oracle What you'll learn Qubit Qubit State superposition state quantum gates quantum circuits quantum mechanics multi-qubit state Wave theory Qubit interference Quantum spin Stern-Gerlach Experiment Correlated particles Bell States Einstein-Podolsky-Rosen Paradox Hadamard gate Cirq Pauli gate Phase kickback Eigenstates Swap gate Toffoli gate CNOT gates Rϕ Gate Rx and Ry gates Equal superposition state Entangled state bit-flip error phase flip error Quantum Error Correction (QEC) Shor Code Variational Quantum Circuits classical oracle phase oracle quantum oracle Quantum phase estimation Amplitude Amplification quantum Fourier transform Grover's Algorithm Deutsch-Jozsa Algorithm Requirements Basic knowledge of python is required Description Master Quantum Computing with Python - From Fundamentals to Advanced AlgorithmsThis course is a comprehensive, hands-on guide to quantum computing, designed for both beginners and professionals. Whether you are a student, researcher, or software developer, this course will take you from the foundational principles of quantum mechanics to implementing real-world quantum algorithms using Python.What You Will LearnQuantum Mechanics Basics - Understanding superposition, entanglement, and quantum interferenceQubits and Quantum Gates - Explore Hadamard, Pauli, CNOT, Toffoli, and rotational gatesQuantum Circuit Design - Build and simulate quantum circuits using Cirq and QiskitQuantum Fourier Transform (QFT) and Grover's Algorithm - Solve complex problems exponentially fasterQuantum Phase Estimation (QPE) - The foundation for Shor's Algorithm and quantum cryptographyVariational Quantum Circuits (VQCs) - Hybrid quantum-classical machine learning applicationsQuantum Error Correction (QEC) - Ensuring reliability in quantum computingQuantum Oracles and Amplitude Amplification - Core components for quantum search algorithmsHands-On Projects and ApplicationsSimulating quantum circuits with PythonImplementing Grover's Search Algorithm for database searchesBuilding and running the Quantum Fourier Transform (QFT)Developing Quantum Phase Estimation (QPE) for real-world applicationsWho Should Take This Course?Python programmers interested in quantum computingComputer science and physics studentsMachine learning and AI professionals exploring Quantum AIDevelopers and researchers looking to transition into quantum computingWhy Learn Quantum Computing?With major companies and research institutions investing in quantum computing, acquiring quantum programming skills will open doors to cutting-edge technologies and future career opportunities.Enroll Today and Begin Your Quantum Computing Journey! 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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

Free Download AI & Quantum Computing Mastery - From Zero To Expert Bootcamp Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.57 GB | Duration: 5h 1m Hands-On Machine Learning, Deep Learning, Quantum Algorithms & Hybrid AI-QC Applications What you'll learn Master AI & Machine Learning - Learn AI fundamentals, Supervised & Unsupervised Learning, and build real-world ML models from scratch. Build Deep Learning Models - Train Neural Networks, CNNs, and RNNs using TensorFlow & PyTorch for image recognition, NLP, and advanced AI applications. Understand Quantum Computing - Learn Qubits, Superposition, Entanglement, and how Quantum Circuits work using Qiskit and IBM Quantum. Implement Quantum Algorithms - Develop Grover's Search, Shor's Algorithm, and Variational Quantum Circuits for real-world problem-solving. Train AI Models with Quantum Computing - Use Quantum Machine Learning (QML) to enhance AI models with quantum speedups and quantum feature mapping. Build AI-Powered Chatbots & NLP Systems - Create AI-driven chatbots, voice assistants, and sentiment analysis models for real-world applications. Develop AI for Finance & Trading - Predict stock trends, optimize financial portfolios, and enhance risk management with AI & Quantum AI techniques. Explore Quantum Cryptography & Security - Implement Quantum Key Distribution (QKD) and quantum-safe encryption for secure communication. Create AI-Based Fraud Detection Systems - Train AI models to detect fraudulent transactions and cyber threats in financial and cybersecurity sectors. Build AI-Quantum Hybrid Applications - Combine AI & Quantum Computing to develop next-gen applications in healthcare, finance, and data science. Requirements This course is designed for absolute beginners, so no prior experience in AI or Quantum Computing is required Basic programming knowledge (Python recommended, but not mandatory) A computer with internet access (Windows, macOS, or Linux) Familiarity with high school-level math (Algebra, Probability, and basic Linear Algebra) Interest in AI, Machine Learning, and Quantum Computing Willingness to learn and experiment with hands-on coding exercises Description Unlock the power of Artificial Intelligence (AI) and Quantum Computing (QC) with this comprehensive, hands-on course designed for absolute beginners and professionals looking to explore the next generation of computing technologies. This course covers Machine Learning (ML), Deep Learning (DL), Neural Networks, Quantum Mechanics, Quantum Machine Learning (QML), and Hybrid AI-QC Applications, equipping you with the skills to build real-world projects.As AI continues to transform industries like healthcare, finance, cybersecurity, and automation, Quantum Computing is revolutionizing the way we solve complex problems through superposition, entanglement, and quantum gates. This course is structured to help you master AI fundamentals before diving into Quantum Algorithms, Quantum AI, and Hybrid AI-QC Systems. Why Take This Course?Learn AI, Machine Learning, Deep Learning, and Neural Networks from scratch.Understand Quantum Computing principles including Qubits, Superposition, Entanglement, and Quantum Circuits.Master Quantum Machine Learning (QML) with Quantum Neural Networks (QNNs) and Quantum Optimization.Gain hands-on experience with TensorFlow, PyTorch, Qiskit, IBM Quantum, and OpenAI.Implement Quantum-powered applications for drug discovery, finance, and portfolio optimization.Develop expertise in AI-powered quantum simulations to accelerate big data analytics and deep learning.What you will learn:AI & Machine Learning FundamentalsIntroduction to Artificial Intelligence, Supervised & Unsupervised Learning.Hands-on Deep Learning with TensorFlow & PyTorch.Develop AI-powered chatbots, image recognition, and fraud detection models.Implement Reinforcement Learning for self-learning AI systems.Quantum Computing & Quantum AlgorithmsUnderstand Quantum Bits (Qubits), Quantum Gates, Quantum Superposition & Entanglement.Learn Quantum Circuit Design & Quantum Measurement.Implement Quantum Algorithms like Grover's Search, Shor's Algorithm, and Variational Quantum Classifiers (VQC).Quantum Machine Learning (QML) & AI-QC Hybrid ApplicationsExplore Quantum-enhanced AI, Quantum Kernel Methods, and Variational Quantum Circuits.Train Quantum Neural Networks (QNNs) for deep learning tasks.Implement Quantum-enhanced ML models for finance, drug discovery, and cybersecurity.Who Should Take This Course?Beginners looking to master AI, Machine Learning, Deep Learning & Quantum Computing.Software Developers & Data Scientists interested in Quantum AI & Hybrid AI-QC Applications.AI Researchers & Quantum Computing Enthusiasts exploring Quantum Neural Networks & QML.Tech Professionals wanting to transition into Quantum Computing & AI Research.Technologies CoveredPython, TensorFlow, PyTorch, OpenAI, IBM Quantum, Qiskit, D-Wave, Scikit-Learn, NumPy, PandasQuantum Algorithms, Quantum Neural Networks, Variational Quantum Circuits, Quantum CryptographyReinforcement Learning, Natural Language Processing (NLP), AI for Cybersecurity, AI for Healthcare, AI for FinanceThis course provides everything you need to become an AI & Quantum Computing expert, ensuring you're ready for the future of AI-powered Quantum Computing. Overview Section 1: Introduction to AI & Quantum Computing Mastery Course Lecture 1 Quick Introduction to Quantum Computing Lecture 2 Learn Python from Scratch - Quick Tutorial Section 2: Introduction to AI & Quantum Computing Lecture 3 Lesson 1: Course Overview & Prerequisites Lecture 4 Lesson 2: Foundations of AI Lecture 5 Lesson 3: Foundations of Quantum Computing Section 3: Artificial Intelligence (AI) Deep Dive Lecture 6 Lesson 4: Machine Learning & AI Frameworks Lecture 7 Lesson 5: Deep Learning with TensorFlow & PyTorch Lecture 8 Lesson 6: Reinforcement Learning Section 4: Quantum Computing Deep Dive Lecture 9 Lesson 7: Quantum Mechanics for Beginners Lecture 10 Lesson 8: Quantum Circuits & Gates Lecture 11 Lesson 9: Quantum Algorithms Section 5: AI & Quantum Computing Together Lecture 12 Lesson 10: How AI Benefits from Quantum Computing Lecture 13 Lesson 11: Quantum Data Processing for AI Lecture 14 Lesson 12: Quantum Neural Networks Section 6: Advanced Applications Lecture 15 Lesson 13: Real-World AI-QC Use Cases Lecture 16 Lesson 14: Quantum AI Optimization Techniques Beginners & Enthusiasts - If you're new to AI or Quantum Computing and want a structured, hands-on learning experience.,Software Developers & Engineers - Those looking to integrate AI and Quantum Computing into applications and real-world systems.,Data Scientists & Machine Learning Engineers - Professionals aiming to enhance their skills in AI and explore Quantum Machine Learning (QML).,Quantum Computing Enthusiasts - Learners interested in understanding quantum mechanics, quantum circuits, and quantum algorithms.,AI Researchers & Academics - Those studying Neural Networks, Reinforcement Learning, Quantum AI, and Variational Quantum Circuits (VQC).,Tech Professionals & IT Experts - Individuals looking to transition into AI-driven Quantum Computing roles.,Entrepreneurs & Innovators - Business leaders who want to leverage AI-powered quantum solutions for finance, cybersecurity, drug discovery, and optimization.,Students & Graduates - University students or recent graduates eager to specialize in AI, Quantum Computing, or their hybrid applications. 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Free Download Introduction to Cloud Computing on AWS for Beginners [2024] Last updated 10/2024 Created by Neal Davis | AWS Certified Solutions Architect & Developer,Digital Cloud Training | AWS Certified Cloud Practitioner AWS Certified Solutions Architect, AWS Developer Associate MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 97 Lectures ( 9h 29m ) | Size: 2.47 GB Learn Cloud Computing Concepts and AWS Basics | Master AWS Fundamentals and Hands-on Skills on Amazon Web Services (AWS) What you'll learn: This course covers fundamental concepts of cloud computing and is designed for absolute beginners Learn the basics of Amazon Web Services (AWS), the world's leading cloud computing platform Gain an understanding of the fundamental systems on which the cloud is based, including storage, networking, and compute Develop hands-on skills using core Amazon Web Services (AWS) services Build knowledge from beginner level to advanced concepts Requirements: This course is designed for individuals who are new to the world of cloud computing and AWS Absolutely no prior experience necessary Description: This beginner-friendly Introduction to Cloud Computing on AWS course takes you from the AWS basics to becoming a competent AWS cloud practitioner. 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