edX
edXQuantum Computer Systems Design III: Working with Noisy Systems
68 studentsADVANCEDEnglish
Korshub's take
Programming Near-Term Quantum Computers
Today's quantum computers are small and noisy—but they work. This course teaches you to design algorithms and manage systems that extract useful results despite imperfections.
Using IBM Qiskit, you'll program real quantum hardware, learning gate sequences, quantum algorithms for NISQ devices, and how quantum processors compile programs into physical operations. You'll master qubit management, understand microarchitecture constraints, and optimize for real hardware realities.
For physicists, computer scientists, and engineers ready to work with quantum computers as they exist today, building practical applications on imperfect but functional machines.
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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