QuantumComputing Tutorials.
This tutorial introduces the fundamentals of quantum computing and explains
how it differs from classical computing.
1. What is Quantum Computing?
Quantum computing is a type of computing that uses principles of quantum
mechanics to process information.
- Uses quantum bits (qubits)
- Leverages quantum physics
- Solves certain problems faster than classical computers
2. Classical Bits vs Qubits
Classical computers use bits that are either 0 or 1.
Qubits can be both 0 and 1 at the same time.
Classical Bit: 0 or 1
Qubit: |0⟩ + |1⟩
This property is called superposition.
3. Superposition
Superposition allows a qubit to exist in multiple states simultaneously.
- Increases computing power
- Enables parallel computation
4. Entanglement
Entanglement links qubits together so the state of one affects another,
even across large distances.
Einstein called entanglement “spooky action at a distance.”
5. Quantum Gates
Quantum gates manipulate qubits, similar to logic gates in classical computers.
- Hadamard (H)
- Pauli-X
- CNOT
H |0⟩ → (|0⟩ + |1⟩)/√2
6. Quantum Circuits
Quantum circuits are sequences of quantum gates applied to qubits.
- Input qubits
- Quantum gates
- Measurement
7. Measurement
Measuring a qubit collapses its superposition into a definite state (0 or 1).
Measurement destroys quantum information.
8. Quantum Algorithms
- Shor’s Algorithm – Factoring large numbers
- Grover’s Algorithm – Faster searching
- Quantum Fourier Transform
9. Quantum Hardware
- Superconducting qubits
- Trapped ions
- Photonic systems
10. Applications of Quantum Computing
- Cryptography
- Drug discovery
- Optimization problems
- Material science
- Artificial intelligence
11. Limitations & Challenges
- Qubit instability (decoherence)
- Error correction complexity
- High cost
12. Quantum Computing Tools
- IBM Qiskit
- Google Cirq
- Microsoft Q#
13. Career Paths in Quantum Computing
- Quantum Software Engineer
- Quantum Researcher
- Quantum Algorithm Developer
- Quantum Hardware Engineer
14. Conclusion
Quantum computing represents the future of computation.
Learning its fundamentals today prepares you for tomorrow’s technology.