As technology is constantly evolving and progressing, understanding Quantum Computing has become important for almost everyone who is a tech enthusiast or seeking jobs. Quantum computing covers a wide range of fields, including drug discovery, optimization problems, cryptography, and machine learning. Now, if one’s interested in exploring this immense potential and doing a course on Quantum computing, let’s check out the best courses to try:
Exploring Quantum Physics is one of the online Quantum Physics courses that one should consider doing, and it takes 34 weeks to complete. This is a research-based course that develops understanding through exercise. The course consists of 10 modules and a total of 17 assignments. Once completed, students will get a solid foundational understanding of key concepts in quantum physics and a deep insight into the development of quantum theory.
This course will help students learn about Quantum Computers, Quantum Programming, Quantum Computing, Qiskit, and Python. This course allows students to learn about the principles of quantum mechanics and how to use them in quantum computers from scratch. The best part is this course can be completed in a month, and at the end, its students will learn how to analyze and evaluate quantum algorithms, assessing their efficiency and their real-world application.
If someone with a degree in mechanical or aerospace engineering wants to step into this field of Quantum computing, this course is something they should consider. This course is based on Quantum Mechanics and gives a great introduction to that field. This course will help students learn how to use Schrödinger's wave equation in atomic and molecular structures to solve modern quantum chemistry issues.
This specific course is for those who are eager to learn Quantum Algorithms, Quantum Machine Learning, Quantum Information Theory, etc. Within 10 hours, students will be given a complete understanding of almost the entire Quantum Computing field. Though the course isn’t lengthy, it’s really hard to complete. So, students must take this seriously to complete this course successfully.
Quantum Computing for Everyone—An Introduction is a beginner-friendly course that’s specifically made for beginners. This course gives a basic idea of quantum mechanics, algorithms, and math tools to let students understand this field and how it works in recent times. The best part is this course requires 7 hours of training that is spread over three weeks. For a dedicated student, two hours a week is enough. At the time this course ends, students will have a strong understanding of quantum mechanics.
This is once again a beginner-friendly course where some complex concepts are made easily accessible. This course is made of 3 modules that need to be completed within 3 weeks. These modules include concepts like Python setup and core concepts, control flow, and data manipulation. Apart from these, some other concepts are also there.
By the end of this process, students gain an in-depth knowledge of Python basics, including the core concepts, data types, etc.
This is also designed for beginners to understand the Quantum Information basics. The base of this course includes the concept of quantum theory as the foundational framework for information processing. Apart from that, this course will help students learn about Single qubit, Bipartite quantum systems, Quantum computing, Quantum communication, etc., within its 10 hours of course time.
This course is designed for those who are willing to use GitHub Codespaces. The course offers students in-depth knowledge of the following: Quantum Bits, Multiple Quantum Bits, Single-Qubit Pauli Gates, Single-Qubit Superposition Gates, Multi-Qubit Gates, Quantum Entanglement, etc. The best part is it takes only 15 hours to complete, and by the end, students will have a good understanding of GitHub Codespaces and similar tools.
This one is another Quantum Computing course that is good for beginners to learn some essential concepts like foundational concepts, exploration of classical and quantum gates, entanglement, and circuit creation using Qiskit. With this practical knowledge, students will learn to run quantum circuits on simulators and Quantum computers. It will also help them apply algorithms like Bernstein-Vazirani, Deutsch, and Grover in real-world tasks.
This is the final course that one should consider doing if they are interested in Quantum computing. This course takes students to the depth of the RSA cryptosystem. This course is not for beginners, though. It will be for those who are interested in learning how cryptography and quantum computing intersect. This is a total 44-hour course that requires students to spend 14 hours a week.
By the end, students will learn the basics of quantum computation and how the number theory is used to build the RSA cryptosystem.