How to Use Qiskit to Run Your First Quantum Algorithm

 Getting Started with Qiskit

Qiskit is an open-source Python framework developed by IBM for working with quantum computers. It allows you to design, simulate, and run quantum algorithms on IBM Quantum devices.

Step 1: Install Qiskit

Make sure Python is installed, then use pip to install Qiskit:

pip install qiskit

Verify installation:

import qiskit

print(qiskit.__qiskit_version__)

Step 2: Import Necessary Modules

from qiskit import QuantumCircuit, Aer, execute

QuantumCircuit: Used to create quantum circuits.

Aer: Simulator backend to run circuits locally.

execute: Function to run the quantum circuit.

Step 3: Create Your First Quantum Circuit

We’ll create a simple 1-qubit circuit and apply a Hadamard gate, which puts the qubit into superposition.

# Create a quantum circuit with 1 qubit and 1 classical bit

qc = QuantumCircuit(1, 1)

# Apply Hadamard gate to qubit 0

qc.h(0)

# Measure the qubit into the classical bit

qc.measure(0, 0)

# Draw the circuit

qc.draw(output='mpl')

Hadamard gate (H): Creates superposition, giving qubit a 50/50 chance of being 0 or 1.

Measurement: Collapses the qubit into a definite state.

Step 4: Run the Circuit on a Simulator

# Use the qasm simulator

simulator = Aer.get_backend('qasm_simulator')

# Execute the circuit with 1024 shots (repetitions)

job = execute(qc, simulator, shots=1024)

# Get results

result = job.result()

counts = result.get_counts(qc)

print(counts)

Shots: Number of times the experiment is repeated to gather statistics.

Counts: Shows how often each outcome (0 or 1) occurred.

Step 5: Visualize the Result

from qiskit.visualization import plot_histogram

plot_histogram(counts)

This shows a histogram of 0s and 1s, demonstrating quantum randomness.

Step 6: Optional Run on a Real Quantum Device

Create an account on IBM Quantum Experience: https://quantum-computing.ibm.com/

Get your API token and save it in Qiskit:

from qiskit import IBMQ

IBMQ.save_account('YOUR_API_TOKEN')

IBMQ.load_account()

Select a real backend and run your circuit:

provider = IBMQ.get_provider(hub='ibm-q')

backend = provider.get_backend('ibmq_quito') # Example real quantum device

job = execute(qc, backend=backend, shots=1024)

result = job.result()

counts = result.get_counts(qc)

print(counts)

Summary

Install Qiskit and import modules.

Create a quantum circuit with qubits and classical bits.

Apply gates (like Hadamard) and measure.

Simulate locally using Aer.

Optionally, run on IBM Quantum devices.

Visualize results with histograms.

This simple exercise introduces you to superposition, measurement, and quantum randomnessthe building blocks of quantum computing.

Learn Quantum Computing Course in Hyderabad

Read More

Quantum Computing Projects for College Students

How to Build Your First Quantum Circuit Step-by-Step

Top Beginner Quantum Computing Projects to Try

Practical Learning & Projects

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