course
Introduction to Quantum Computing with Qiskit (openHPI / IBM Quantum)
Hasso Plattner Institute / IBM Quantum
2 courses · 10 tutorials
course
Hasso Plattner Institute / IBM Quantum
course
IBM Quantum
A practical guide to running Qiskit circuits on real IBM quantum processors: account setup, backend selection, ISA transpilation, session management, reading results, and avoiding common errors on noisy hardware.
How to use Qiskit Runtime's Sampler and Estimator primitives to run circuits on IBM quantum hardware efficiently, replacing the deprecated execute() API.
Write your first quantum program in OpenQASM 3, the universal quantum assembly language used by IBM Quantum, Qiskit, and cross-platform toolchains.
Install Qiskit, build your first quantum circuit in Python, and run it on a real IBM quantum computer, all in under 30 minutes.
Write your first quantum program in Qiskit, build a Bell state, run it on a local simulator, and interpret the results.
Step-by-step guide to installing Qiskit, building your first quantum circuit, creating a Bell state, simulating it locally, and running it on a real IBM Quantum device.
Learn to use Qiskit Serverless to parallelize quantum workloads on IBM Quantum. Run parameter sweeps in parallel, coordinate classical and quantum compute, aggregate results, and choose between Session, Batch, and Serverless execution modes.
How to connect tket circuits to IBM Quantum, Quantinuum H-Series, and AWS Braket backends using pytket extension packages.
Go below the circuit level with Qiskit Pulse: build custom microwave pulse schedules, define your own single-qubit gates via pulse calibration, measure qubit coherence times T1 and T2, and run experiments on IBM Quantum backends.
A production-oriented guide to Qiskit Runtime's Session and Batch modes, the Estimator and Sampler primitives, Primitive Unified Blocs (PUBs), ISA circuits, and cost optimization strategies for IBM Quantum hardware.