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Quantum Computing For Professionals

NextPageTechnologies
Enrollment in this course is by invitation only

About This Course

This course provides a comprehensive introduction to Quantum Computing, a revolutionary technology that leverages the principles of quantum mechanics to perform complex computations. You will learn about qubits, superposition, entanglement, quantum gates, algorithms, and real-world applications

Through practical examples and exercises, students will gain a solid understanding of how quantum computers work and how they can be applied in cryptography, optimization, AI, and scientific simulations.

Requirements

  • Basic understanding of classical computing concepts (bits, logic gates, algorithms).

  • Familiarity with mathematics, especially linear algebra and probability.

  • Interest in physics and quantum mechanics concepts (helpful but not mandatory).

  • A computer with internet access for simulations and online quantum tools.

Course Staff


Staff Member #1

Instructor: Dr. Sunil Kumar
Bio: Dr. Sunil Kumar is a quantum computing researcher with extensive experience in quantum algorithms and hardware implementations. He has worked on quantum simulations, cryptography applications, and AI optimization problems using quantum technologies.


Staff Member #2

Teaching Assistant: Priya Sharma
Bio: Priya Sharma specializes in quantum programming and hands-on implementation using platforms like IBM Quantum Experience and Qiskit. She supports students in practical exercises and code simulations.


Frequently Asked Questions

Q1: Do I need a physics background to take this course?
A: No, the course is designed for beginners. While knowledge of basic physics can help, all key concepts will be explained clearly.

Q2: Which programming languages or tools will I use?
A: The course introduces quantum programming tools such as Qiskit (Python library) and cloud-based simulators like IBM Quantum Experience.

Q3: Can I apply quantum computing skills in real-world jobs?
A: Yes, knowledge of quantum computing is highly valuable for careers in cryptography, AI, optimization, scientific research, and tech development.

Q4: How long does it take to complete the course?
A: The course is designed to be completed in 4–6 weeks, depending on your pace and practice.

Q5: Will I get a certificate after completing the course?
A: Yes, students who complete all modules and exercises will receive a Certificate of Completion.