Getting Started with Quantum Computing: A Practical Guide

Your first steps into quantum computing, from basic concepts to running your first quantum circuit.

QuantumBytz Team
January 17, 2026
2 hours
Quantum circuit visualization

Introduction

Quantum computing represents a fundamental shift in how we process information. This guide provides a practical path from understanding basic concepts to running real quantum programs.

Prerequisites

  • Basic programming knowledge (Python recommended)
  • Understanding of linear algebra fundamentals
  • Curiosity about quantum mechanics

Part 1: Understanding Quantum Concepts

Classical vs Quantum Bits

Classical computers use bits: either 0 or 1. Quantum computers use qubits, which can exist in superposition—a combination of both states simultaneously.

Key Quantum Properties

  1. Superposition: Qubits exist in multiple states until measured
  2. Entanglement: Qubits can be correlated in ways impossible classically
  3. Interference: Quantum states can amplify or cancel each other

Part 2: Setting Up Your Environment

Option 1: IBM Quantum Experience

The easiest way to start:

  1. Create account at quantum-computing.ibm.com
  2. Use the Circuit Composer for visual programming
  3. Run circuits on real quantum hardware

Option 2: Local Development with Qiskit

Install Qiskit:

pip install qiskit qiskit-aer qiskit-ibm-runtime

Part 3: Your First Quantum Circuit

Hello Quantum World

from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator

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

# Put first qubit in superposition
qc.h(0)

# Entangle qubits
qc.cx(0, 1)

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

# Run on simulator
simulator = AerSimulator()
job = simulator.run(qc, shots=1000)
result = job.result()
counts = result.get_counts()
print(counts)

This creates a Bell state—the simplest example of entanglement.

Part 4: Understanding the Output

Running the circuit produces results like:

{'00': 502, '11': 498}

The qubits are always measured in the same state (both 0 or both 1), demonstrating entanglement.

Part 5: Next Steps

  1. Learn More Gates: X, Y, Z, CNOT, Toffoli
  2. Study Algorithms: Deutsch-Jozsa, Grover's search
  3. Explore Applications: Optimization, chemistry simulation
  4. Join Community: Qiskit slack, quantum computing forums

Resources

  • Qiskit Textbook (free online)
  • IBM Quantum Learning
  • Microsoft Quantum documentation

Conclusion

Quantum computing is accessible to anyone with programming experience. Start with simulators, understand the basics, and gradually explore more complex algorithms.