What You’ll Learn: Quantum Computing Fundamentals
You’ll go from understanding classical bits to programming quantum circuits and running algorithms that leverage the unique properties of quantum mechanics.
Qubits & Quantum Gates
Learn the basic unit of quantum information and how to manipulate it with gates.
Superposition & Entanglement
Understand the core quantum phenomena that enable quantum advantage.
Quantum Circuits (Qiskit)
Design and simulate quantum circuits using the Qiskit framework.
Basic Quantum Algorithms
Implement famous algorithms like Deutsch-Jozsa and Grover’s search.
Who Is This Course For?
Ideal for developers, physicists, and curious minds ready to explore the fundamentals of quantum computing.
- Developers with Python knowledge interested in quantum computing
- Physicists or engineers wanting to apply quantum principles to computation
- Students and researchers exploring quantum algorithms
Hands-On Projects
Quantum Random Number Generator
Build a circuit that leverages quantum randomness to generate truly random numbers.
Deutsch-Jozsa Algorithm
Implement this foundational algorithm to demonstrate quantum speedup.
Capstone
Quantum Simulation
Simulate a simple quantum system or run Grover’s search algorithm on real hardware.
4-Week Quantum Computing Syllabus
~48 hours total • Lifetime LMS access • 1:1 mentor support
Week 1: Qubits & Quantum Gates
- Classical vs. quantum bits
- Mathematical representation of qubits (state vectors, Bloch sphere)
- Single-qubit gates (Pauli, Hadamard, phase)
- Multi-qubit gates (CNOT, SWAP)
- Introduction to Qiskit and quantum circuit construction
Week 2: Superposition & Entanglement
- Understanding superposition and measurement
- Quantum entanglement and Bell states
- Quantum teleportation protocol
- Implementing and simulating entangled circuits
Week 3: Quantum Algorithms
- Overview of quantum algorithms
- Deutsch-Jozsa algorithm
- Simon’s problem
- Introduction to Grover’s search algorithm
Week 4: Quantum Hardware & Applications
- Types of quantum computers (superconducting, trapped ion, etc.)
- Quantum noise and error correction basics
- Running circuits on IBM Quantum hardware
- Capstone project: Implement a chosen algorithm
NSTC‑Accredited Certificate
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Frequently Asked Questions
A basic understanding of linear algebra (vectors, matrices) is helpful. While a physics background can be useful, we cover the necessary quantum mechanics concepts from the ground up in a computer science context.
Yes! You will use IBM’s Quantum Experience and Qiskit to run your quantum circuits on real quantum hardware simulators and, depending on availability, actual quantum processors.
