edX
edXQuantum Computer Systems Design I: Intro to Quantum Computation and Programming
333 studentsADVANCEDEnglish
Korshub's take
Build quantum programs on real hardware
This advanced course takes a systems approach: you'll learn not just quantum theory but how to actually build programs for today's quantum computers. Using IBM Qiskit, you'll write Python code and run it on cloud-accessible quantum hardware—no simulator only. The course covers quantum gate mechanics, mid-scale algorithms suited to current hardware (NISQ devices), and the full stack: program compilation, qubit management, and processor architecture. Keywords span superposition and entanglement through to qubit technologies and circuit optimization.
For computer scientists and engineers ready to move beyond theory and start hands-on quantum system design.
About this course
This quantum computing course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple programs in Python and execute them on cloud-accessible quantum hardware. Topics covered in this course include:
- Introduction to systems research in quantum computing
- Fundamental rules in quantum computing, Bloch Sphere, Feynman Path Sum
- Sequential and parallel execution of quantum gates, EPR pair, no-cloning theorem, quantum teleportation
- Medium-size algorithms for NISQ (near-term intermediate scale quantum) computers
- Quantum processor microarchitecture: classical and quantum control
- Quantum program compilation and qubit memory management
Keywords: quantum computing, computer science, linear algebra, compiler, circuit optimization, python, qiskit, quantum algorithms, quantum technology, superposition, entanglement, qubit technology, superconducting qubit, transmon qubit, ion-trap qubit, photonic qubit, real quantum computers
Price
Advertisement
