1. de Broglie Hypothesis of Matter Waves
In 1924, Louis de Broglie proposed a revolutionary idea: if light (traditionally thought of as a wave) can exhibit particle-like properties (photons), then particles like electrons should also exhibit wave-like properties. This is known as wave-particle duality.
For a photon, Einstein showed:
Combining these:
de Broglie extended this to all matter:
Where: h = Planck's constant (6.626 × 10⁻³⁴ J·s), p = momentum, m = mass, v = velocity
- Wavelength is inversely proportional to momentum (and velocity)
- Heavier particles have shorter wavelengths
- For macroscopic objects, λ is so small it's undetectable
- For electrons, λ is comparable to atomic dimensions
2. de Broglie Wavelength for Electron
When an electron is accelerated through a potential difference V, it gains kinetic energy. Using this, we can derive a practical formula for the de Broglie wavelength of an electron.
Kinetic energy gained by electron:
Solving for velocity:
Momentum p = mv:
de Broglie wavelength:
Substituting values (m = 9.1 × 10⁻³¹ kg, e = 1.6 × 10⁻¹⁹ C, h = 6.626 × 10⁻³⁴ J·s):
3. Properties of Matter Waves
- Universal: All moving particles have associated matter waves
- Wavelength depends on momentum: λ = h/p (inversely proportional)
- Not electromagnetic: Matter waves are probability waves, not EM waves
- Phase velocity vs Group velocity: Phase velocity can exceed c, but group velocity equals particle velocity
- Experimental verification: Davisson-Germer experiment confirmed electron diffraction
Speed at which a single wavelength crest moves
For matter waves: v_p = c²/v (greater than c!)
Not physically meaningful for energy/info transfer
Speed at which the wave packet (envelope) moves
For matter waves: v_g = v (particle velocity)
Represents actual particle motion
| Property | Light Waves | Matter Waves |
|---|---|---|
| Nature | Electromagnetic | Probability waves |
| Speed in vacuum | c (constant) | Depends on particle velocity |
| Medium required | No | No |
| Wavelength | λ = c/ν | λ = h/p |
| Can interfere/diffract | Yes | Yes |
4. Wave Function and Probability Density
Mathematical Conditions for Wave Function
For a wave function to be physically acceptable, it must satisfy certain conditions:
5. Need and Significance of Schrödinger's Equations
Classical mechanics fails at the atomic scale where wave-particle duality becomes significant. We need a new equation that:
- Describes the evolution of matter waves (wave function)
- Incorporates both wave and particle aspects
- Reduces to classical mechanics for large objects
- Predicts quantized energy levels in atoms
In 1926, Erwin Schrödinger formulated his famous equation, providing a mathematical framework for quantum mechanics. Unlike Newton's laws (which give definite trajectories), Schrödinger's equation gives the wave function, from which we calculate probabilities.
5.1 Time-Dependent Schrödinger Equation
Or more compactly:
- First-order in time, second-order in space
- Contains the imaginary unit i – wave function is generally complex
- ℏ = h/(2π) = 1.055 × 10⁻³⁴ J·s (reduced Planck constant)
- Used when potential or state changes with time
5.2 Time-Independent Schrödinger Equation
Assume separable solution: ψ(x,t) = φ(x)·f(t)
Substituting into TDSE and separating variables gives:
The spatial part φ(x) satisfies:
Or: Ĥψ = Eψ (eigenvalue equation)
- Gives allowed energy levels E (eigenvalues)
- Gives corresponding wave functions ψ (eigenfunctions)
- Explains quantization – only certain E values are allowed
- Used for finding stationary states in atoms, molecules, solids
6. Particle in a Rigid Box (Infinite Square Well)
The simplest quantum system: a particle confined to a one-dimensional box of length L with infinitely high walls. The particle cannot escape the box.
Boundary Conditions
- ψ = 0 at x = 0 (particle cannot be at the wall)
- ψ = 0 at x = L (particle cannot be at the wall)
- ψ ≠ 0 for 0 < x < L (particle is somewhere inside)
Solution
Inside the box (V = 0), TISE becomes:
General solution:
Applying ψ(0) = 0:
Applying ψ(L) = 0:
Energy from k² = 2mE/ℏ²:
- Quantization: Only discrete energy values allowed (n = 1, 2, 3, ...)
- Zero-point energy: Minimum energy E₁ = h²/(8mL²) ≠ 0 (particle can never be at rest)
- Energy spacing: E_n ∝ n², spacing increases with n
- Nodes: n-th state has (n-1) nodes inside the box
- Confinement effect: Smaller L → higher energy levels
7. Quantum Mechanical Tunneling
Inside the barrier where E < V₀, the wave function decays exponentially rather than oscillating. If the barrier is thin enough, there's a non-zero amplitude on the other side.
- Probability decreases exponentially with barrier width and height
- Lighter particles tunnel more easily (smaller m → larger κ)
- Higher energy particles (closer to V₀) tunnel more easily
- No classical analogue – purely quantum effect
- Scanning Tunneling Microscope (STM): Images surfaces at atomic resolution by measuring tunnel current
- Tunnel Diode: Fast switching electronic device
- Alpha Decay: Alpha particles tunnel out of nucleus
- Nuclear Fusion: Protons tunnel through Coulomb barrier in stars
- Flash Memory: Data storage uses electron tunneling
8. Principles of Quantum Computing: Concept of Qubit
Classical Bit vs Quantum Bit (Qubit)
- Can be in state 0 OR 1
- Definite value at all times
- n bits can represent ONE of 2ⁿ states
- Example: Switch ON (1) or OFF (0)
- Can be in state |0⟩, |1⟩, OR superposition
- Exists in multiple states simultaneously until measured
- n qubits can represent ALL 2ⁿ states simultaneously
- Example: Electron spin, photon polarization
With normalization condition: |α|² + |β|² = 1
- Superposition: Qubit can be in multiple states simultaneously
- Entanglement: Qubits can be correlated such that measuring one instantly affects the other
- Interference: Quantum states can interfere constructively or destructively
- Measurement: Measuring collapses superposition to |0⟩ or |1⟩ with probabilities |α|² and |β|²
- Parallelism: n qubits can process 2ⁿ states simultaneously
- Example: 50 qubits can process 2⁵⁰ ≈ 10¹⁵ states at once
- Useful for: Cryptography, optimization, simulation of quantum systems, machine learning
- Limitation: Output is probabilistic; algorithms must be designed to amplify correct answers
| Aspect | Classical Computing | Quantum Computing |
|---|---|---|
| Basic unit | Bit (0 or 1) | Qubit (superposition) |
| Operations | Logic gates (AND, OR, NOT) | Quantum gates (Hadamard, CNOT) |
| Processing | Sequential/parallel | Massive parallelism via superposition |
| Error handling | Well established | Challenging (decoherence) |
| Best for | General purpose | Specific quantum-advantage problems |