Learn Qiskit - 10 Code Examples & CST Typing Practice Test

Qiskit is an open-source Python framework for quantum computing, allowing users to design, simulate, and execute quantum circuits on both simulators and real quantum hardware.

View all 10 Qiskit code examples →

Qiskit Simple Quantum Circuit Qiskit Bell State Circuit Qiskit GHZ State Circuit Qiskit Superposition Example Qiskit Quantum Teleportation Circuit Qiskit Quantum Phase Estimation Qiskit Grover's Search Algorithm Example Qiskit Deutsch-Jozsa Algorithm Example Qiskit Quantum Fourier Transform Example Qiskit Variational Quantum Eigensolver (VQE) Example

Learn QISKIT with Real Code Examples

Updated Nov 25, 2025

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Code Sample Descriptions

Qiskit Simple Quantum Circuit

from qiskit import QuantumCircuit, Aer, execute

# Create a 2-qubit quantum circuit
qc = QuantumCircuit(2, 2)

# Apply a Hadamard gate to qubit 0
qc.h(0)

# Apply CNOT gate
qc.cx(0, 1)

# Measure qubits
qc.measure([0,1], [0,1])

# Execute on simulator
simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Result:', counts)

A minimal Qiskit example creating a 2-qubit quantum circuit, applying a Hadamard gate, and measuring the qubits.

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Qiskit Bell State Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cx(0,1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Bell state counts:', counts)

Creating a Bell state (entangled qubits) and measuring the result.

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Qiskit GHZ State Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h(0)
qc.cx(0,1)
qc.cx(0,2)
qc.measure([0,1,2],[0,1,2])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('GHZ state counts:', counts)

Creating a 3-qubit GHZ state and measuring all qubits.

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Qiskit Superposition Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(1,1)
qc.h(0)
qc.measure(0,0)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Superposition counts:', counts)

Creating a superposition on a single qubit using Hadamard gate.

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Qiskit Quantum Teleportation Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h(1)
qc.cx(1,2)
qc.cx(0,1)
qc.h(0)
qc.measure([0,1],[0,1])
qc.cx(1,2)
qc.cz(0,2)
qc.measure(2,2)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Teleportation result:', counts)

Minimal example of quantum teleportation using 3 qubits.

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Qiskit Quantum Phase Estimation

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h([0,1,2])
qc.cx(2,0)
qc.cx(1,0)
qc.cx(0,0)
qc.measure([0,1,2],[0,1,2])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Phase estimation counts:', counts)

Illustrates a simple quantum phase estimation setup.

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Qiskit Grover's Search Algorithm Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h([0,1])
qc.cz(0,1)
qc.h([0,1])
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Grover search counts:', counts)

Minimal Grover's algorithm with 2 qubits.

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Qiskit Deutsch-Jozsa Algorithm Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,1)
qc.h([0,1])
qc.cz(0,1)
qc.h(0)
qc.measure(0,0)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Deutsch-Jozsa result:', counts)

Implementing a simple Deutsch-Jozsa algorithm with 2 qubits.

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Qiskit Quantum Fourier Transform Example

from qiskit import QuantumCircuit, Aer, execute
import numpy as np

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cp(np.pi/2, 0, 1)
qc.h(1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('QFT result:', counts)

Minimal 2-qubit QFT demonstration.

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Qiskit Variational Quantum Eigensolver (VQE) Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cx(0,1)
qc.rx(0.5,0)
qc.ry(1.2,1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('VQE result:', counts)

Minimal VQE circuit for demonstration.

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Frequently Asked Questions about Qiskit

What is Qiskit?

Qiskit is an open-source Python framework for quantum computing, allowing users to design, simulate, and execute quantum circuits on both simulators and real quantum hardware.

What are the primary use cases for Qiskit?

Designing and simulating quantum circuits. Running quantum algorithms on IBM Quantum hardware. Quantum chemistry simulations. Quantum machine learning experiments. Optimization and combinatorial problem solving

What are the strengths of Qiskit?

Open-source and well-documented. Easy to start for beginners in quantum computing. Seamless cloud integration with IBM Quantum devices. Rich ecosystem with multiple specialized modules. Strong community and academic adoption

What are the limitations of Qiskit?

Hardware availability limited to IBM Quantum devices. Quantum noise affects results on real devices. Steep learning curve for pulse-level programming. Performance limited by classical simulation resources. Requires understanding of quantum mechanics for advanced algorithms

How can I practice Qiskit typing speed?

CodeSpeedTest offers 10+ real Qiskit code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.

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Code Sample Descriptions

Qiskit Simple Quantum Circuit

from qiskit import QuantumCircuit, Aer, execute

# Create a 2-qubit quantum circuit
qc = QuantumCircuit(2, 2)

# Apply a Hadamard gate to qubit 0
qc.h(0)

# Apply CNOT gate
qc.cx(0, 1)

# Measure qubits
qc.measure([0,1], [0,1])

# Execute on simulator
simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Result:', counts)

A minimal Qiskit example creating a 2-qubit quantum circuit, applying a Hadamard gate, and measuring the qubits.

Let’s Try →

Qiskit Bell State Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cx(0,1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Bell state counts:', counts)

Creating a Bell state (entangled qubits) and measuring the result.

Let’s Try →

Qiskit GHZ State Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h(0)
qc.cx(0,1)
qc.cx(0,2)
qc.measure([0,1,2],[0,1,2])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('GHZ state counts:', counts)

Creating a 3-qubit GHZ state and measuring all qubits.

Let’s Try →

Qiskit Superposition Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(1,1)
qc.h(0)
qc.measure(0,0)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Superposition counts:', counts)

Creating a superposition on a single qubit using Hadamard gate.

Let’s Try →

Qiskit Quantum Teleportation Circuit

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h(1)
qc.cx(1,2)
qc.cx(0,1)
qc.h(0)
qc.measure([0,1],[0,1])
qc.cx(1,2)
qc.cz(0,2)
qc.measure(2,2)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Teleportation result:', counts)

Minimal example of quantum teleportation using 3 qubits.

Let’s Try →

Qiskit Quantum Phase Estimation

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(3,3)
qc.h([0,1,2])
qc.cx(2,0)
qc.cx(1,0)
qc.cx(0,0)
qc.measure([0,1,2],[0,1,2])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Phase estimation counts:', counts)

Illustrates a simple quantum phase estimation setup.

Let’s Try →

Qiskit Grover's Search Algorithm Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h([0,1])
qc.cz(0,1)
qc.h([0,1])
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Grover search counts:', counts)

Minimal Grover's algorithm with 2 qubits.

Let’s Try →

Qiskit Deutsch-Jozsa Algorithm Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,1)
qc.h([0,1])
qc.cz(0,1)
qc.h(0)
qc.measure(0,0)

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Deutsch-Jozsa result:', counts)

Implementing a simple Deutsch-Jozsa algorithm with 2 qubits.

Let’s Try →

Qiskit Quantum Fourier Transform Example

from qiskit import QuantumCircuit, Aer, execute
import numpy as np

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cp(np.pi/2, 0, 1)
qc.h(1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('QFT result:', counts)

Minimal 2-qubit QFT demonstration.

Let’s Try →

Qiskit Variational Quantum Eigensolver (VQE) Example

from qiskit import QuantumCircuit, Aer, execute

qc = QuantumCircuit(2,2)
qc.h(0)
qc.cx(0,1)
qc.rx(0.5,0)
qc.ry(1.2,1)
qc.measure([0,1],[0,1])

simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('VQE result:', counts)

Minimal VQE circuit for demonstration.

Let’s Try →

Frequently Asked Questions about Qiskit

What is Qiskit?

Qiskit is an open-source Python framework for quantum computing, allowing users to design, simulate, and execute quantum circuits on both simulators and real quantum hardware.

What are the primary use cases for Qiskit?

What are the strengths of Qiskit?

What are the limitations of Qiskit?

How can I practice Qiskit typing speed?

CodeSpeedTest offers 10+ real Qiskit code examples for typing practice. You can measure your WPM, track accuracy, and improve your coding speed with guided exercises.