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Quantum Computing Basics – CR000160

₹800.00



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Subject – Quantum Machine Learning

Industry – Machine Learning and AI

Introduction:

Welcome to the eLearning course on Quantum Computing Basics, brought to you by T24Global Company. In this course, we will explore the fundamental concepts of quantum computing and its applications in the fields of Machine Learning and Artificial Intelligence (AI).

As technology continues to advance at an unprecedented rate, it is crucial for professionals in the fields of Machine Learning and AI to stay updated with the latest developments. Quantum computing, with its ability to solve complex problems exponentially faster than classical computers, has emerged as a revolutionary technology that holds immense potential for transforming various industries.

This course aims to provide you with a comprehensive understanding of the basics of quantum computing, enabling you to leverage its power for enhancing your skills in Machine Learning and AI. Whether you are a beginner or an experienced professional, this course will cater to your learning needs and help you unlock the potential of quantum computing in your professional journey.

Throughout this course, we will cover a wide range of topics, starting from the foundational principles of quantum mechanics to the practical applications of quantum computing in Machine Learning and AI. We will delve into the concepts of qubits, superposition, entanglement, and quantum gates, which form the building blocks of quantum computing.

Furthermore, we will explore how quantum algorithms, such as Grover’s algorithm and Shor’s algorithm, can be applied to solve complex computational problems efficiently. We will also discuss the challenges and limitations of quantum computing, along with the current state of the technology.

In the context of Machine Learning and AI, quantum computing has the potential to revolutionize the way we process and analyze large datasets, optimize algorithms, and train models. By harnessing the power of quantum computing, we can overcome the limitations of classical computing and achieve breakthroughs in various fields, including drug discovery, financial modeling, and optimization problems.

By the end of this course, you will have a solid foundation in quantum computing and its applications in Machine Learning and AI. You will be equipped with the knowledge and skills required to explore further advancements in this rapidly evolving field and contribute to the development of cutting-edge technologies.

Whether you are a data scientist, a software engineer, or a researcher, this course will empower you to embrace the potential of quantum computing and stay ahead in the ever-changing world of Machine Learning and AI.

So, let’s embark on this exciting journey into the realm of quantum computing and discover its transformative power in the context of Machine Learning and AI. Get ready to unlock new possibilities and redefine the boundaries of what is possible in the world of technology!

NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/quantum-computing-basics/ (copy URL)

 

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Lessons Included

 

LS004344 – Quantum Computing Basics – Challenges & Learnings

LS003298 – Regulatory Sandboxes for Telecom Experimentation

LS003298 – Regulatory Sandboxes for Telecom Experimentation

LS002252 – Quantum Data Encoding and Processing

LS001206 – Quantum Machine Learning Frameworks

LS000160 – Quantum Algorithms for ML

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