edX
edXQuantum Computer Systems Design II: Principles of Quantum Architecture
98 studentsADVANCEDEnglish
Korshub's take
Write and Run Real Quantum Programs
Quantum computing isn't an abstraction—you'll write and execute it on actual IBM quantum hardware via the cloud. This course uses Qiskit (IBM's Python SDK) to ground theoretical quantum concepts in executable code.
You'll progress from the fundamentals (the Bloch sphere, quantum gates, superposition) through intermediate algorithms (no-cloning theorem, quantum teleportation, EPR pairs) to practical NISQ (near-term intermediate-scale quantum) algorithms that real hardware can run today. The course covers quantum processor design, how gates compile to hardware, and the engineering challenges of managing qubits.
Whether you're exploring quantum's potential or building quantum-classical hybrid systems, you'll leave with hands-on code and a realistic picture of where the field stands.
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
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