Topic
7 courses · 2 tutorials
IonQ
IonQ Scientists and Engineers
IonQ's free 2-part lecture series taught by company scientists and engineers. Covers the history of quantum computing, trapped ion hardware architecture, and how to characterize quantum systems.
D-Wave
D-Wave's free introduction. How annealing machines differ from gate-model computers, and which optimization problems they are sold for. No background required.
Udemy
Kumaresan Ramanathan
Udemy course by Kumaresan Ramanathan. Quantum physics, then Qiskit and Q#, including jobs on IBM hardware, and a short introduction to quantum machine learning.
edX
Delft University of Technology (QuTech)
A Delft introduction with little maths: what a quantum computer is, and what a quantum internet is for.
Keio University / Rodney Van Meter
Keio University's accessible introduction to quantum computing on FutureLearn, taught by Rodney Van Meter. Explains the motivation for building quantum computers, the key principles, important algorithms, and a look at quantum hardware and the emerging industry, with minimal mathematics.
MIT xPRO / Isaac Chuang, William Oliver, Peter Shor, Aram Harrow
CertificateMIT xPRO's professional certificate program in quantum computing, taught by Isaac Chuang, William Oliver, Peter Shor, and Aram Harrow. A two-course program covering quantum computing fundamentals, algorithms for cybersecurity and chemistry, and the business implications of the technology.
Udemy
Hoang Quy La
Udemy course by Hoang Quy La. Qubits, gates, and circuits in Python with Cirq and Qiskit, then Deutsch-Jozsa, Grover, the QFT, phase estimation, variational circuits, and a short section on error correction.
Cut through the hype and understand what actually separates quantum computers from classical ones, what problems they genuinely help with, and what realistic expectations look like.
A clear explanation of quantum entanglement: what it is, what it is not, how it differs from classical correlations, and why it is a resource in quantum computing.