Quantum Computing

Quantum Foundation

Course Overview:

Discover the fundamentals of quantum computing by exploring superposition, entanglement, and quantum circuits. Build practical skills with simulators and get introductory hands-on experience with real quantum hardware, laying the foundation for advanced quantum studies.

Learning Outcomes:

• Understand the fundamentals of classical computing and quantum mechanics.
• Model and simulate quantum systems using mathematical tools.
• Design single- and multi-qubit quantum circuits.
• Gain hands-on experience with simulators and introductory real quantum hardware.

Prerequisites:

(Recommended Knowledge)

• Mathematics
  • linear algebra, logic, and trigonometry: Understanding angles, vectors, and coordinate systems
• Programming
  • Python: Familiarity with variables, loops, functions
• Computing Software models usage File handling, installing software
• Engineering
  li>Basics Modern Physics fundamentals: Basic understanding of atomic particles behavior, photons, and light properties

Target Certification:

• The participant who will pass the course exam will obtains Certificate from MIU.
• Delivered in collaboration with SpinQ, this program prepares participants to obtain the SpinQ Quantum Foundation Certificate, supported by hands-on experience on real quantum computing hardware and simulators.

Who Should Attend:

• Students and professionals in computer science, physics, mathematics, or engineering.
• Anyone seeking a strong foundation for advanced quantum computing studies.

Contents:

• Classical computing basics (Von Neumann architecture, algorithms, complexity)
• Foundations of quantum physics (duality, uncertainty, measurement, entanglement)
• Mathematical framework (complex numbers, vectors, matrices, Dirac notation, tensor products)
• Probability & Born rule for quantum systems
• Qubits, Bloch sphere & single-qubit operations
• Multi-qubit systems, quantum circuits & composition

Recommended Next Course:

• Quantum Communication
• Quantum Algorithms
• Quantum Machine Learning

JOB Profile:

Access to industry events, partner networks, and research opportunities.

• Quantum Research Assistant
• Quantum Software Developer
• QML Engineer
• Postgraduate Preparation (Quantum Computing / Physics)

Work Environments:

• Quantum research labs and academic institutions.
• Technology companies develop quantum software.
• Innovation hubs and postgraduate research programs in quantum computing.

Estimated Time to Completion:

• 40 hours: 20 Theory + 20 Practical

Time Plan: Batch 1_July 2026

Day	Topics & Activities	No. Of Hours	Date	Time	Location
Day 1	Basics of Computers and Programming • Von Neumann architecture: CPU, memory, I/O • Bits, bytes, binary and hexadecimal representation • Complexity intuition: loops, conditionals, recursion • Python Basics	4H	July 5, 2026	10AM – 2PM	On campus
Day 2	Computer Algorithms and Models of Computation • Big-O, Ω, Θ notation; worst/average/best cases • P vs. NP problem overview • Algorithm analysis and design	4H	July 6, 2026	10AM – 2PM	On campus
Day 3	Foundations of Quantum Physics 1 • Wave-particle duality and double-slit experiment • Postulates of quantum mechanics • Heisenberg Uncertainty	4H	July 7, 2026	10AM – 2PM	On campus
Day 4	Foundations of Quantum Physics 2 • Measurement and wave function collapse • Quantum particles properties (superposition, entanglement, interference…)	4H	July 8, 2026	10AM – 2PM	On campus
Day 5	Mathematical Foundations 1 • Complex numbers • Vectors and complex vector spaces • Matrices and Matrix operations • Conjugate transpose and Hermitian adjoint • Inner products and norms	4H	July 12, 2026	10AM – 2PM	On campus
Day 6	Mathematical Foundations 2 • Dirac (bra-ket) notation • Eigenvalues and eigenvectors • Unitary and Hermitian matrices • Tensor products	4H	July 13, 2026	10AM – 2PM	On campus
Day 7	Mathematical Foundations 3 • Classical probability and Bayes’ theorem • Expectation values • Quantum probability amplitudes • Born rule and measurement probabilities	4H	July 14, 2026	10AM – 2PM	On campus
Day 8	Introduction to Quantum Computing 1 • Moore’s law • Qubits • Bloch sphere representation • Reversible gates • Single-qubit operations	4H	July 15, 2026	10AM – 2PM	On campus
Day 9	Introduction to Quantum Computing 2 • Multi-qubit systems • Two-qubit gates • Universal gate sets • Circuit diagrams and notation • Circuit composition and decomposition	4H	July 19, 2026	10AM – 2PM	On campus
Day 10	Introduction to Quantum Computing 3 • Quantum circuit notation and reading order • Gate sequencing and circuit composition • State preparation and measurement flow • Simple application circuits	4H	July 20, 2026	10AM – 2PM	On campus

Time Plan: Batch 2_August 2026

Day	Topics & Activities	No. Of Hours	Date	Time	Location
Day 1	Basics of Computers and Programming • Von Neumann architecture: CPU, memory, I/O • Bits, bytes, binary and hexadecimal representation • Complexity intuition: loops, conditionals, recursion • Python Basics	4H	August 16, 2026	10AM – 2PM	On campus
Day 2	Computer Algorithms and Models of Computation • Big-O, Ω, Θ notation; worst/average/best cases • P vs. NP problem overview • Algorithm analysis and design	4H	August 17, 2026	10AM – 2PM	On campus
Day 3	Foundations of Quantum Physics 1 • Wave-particle duality and double-slit experiment • Postulates of quantum mechanics • Heisenberg Uncertainty	4H	August 18, 2026	10AM – 2PM	On campus
Day 4	Foundations of Quantum Physics 2 • Measurement and wave function collapse • Quantum particles properties (superposition, entanglement, interference…)	4H	August 19, 2026	10AM – 2PM	On campus
Day 5	Mathematical Foundations 1 • Complex numbers • Vectors and complex vector spaces • Matrices and Matrix operations • Conjugate transpose and Hermitian adjoint • Inner products and norms	4H	August 23, 2026	10AM – 2PM	On campus
Day 6	Mathematical Foundations 2 • Dirac (bra-ket) notation • Eigenvalues and eigenvectors • Unitary and Hermitian matrices • Tensor products	4H	August 24, 2026	10AM – 2PM	On campus
Day 7	Mathematical Foundations 3 • Classical probability and Bayes’ theorem • Expectation values • Quantum probability amplitudes • Born rule and measurement probabilities	4H	August 25, 2026	10AM – 2PM	On campus
Day 8	Introduction to Quantum Computing 1 • Moore’s law • Qubits • Bloch sphere representation • Reversible gates • Single-qubit operations	4H	August 26, 2026	10AM – 2PM	On campus
Day 9	Introduction to Quantum Computing 2 • Multi-qubit systems • Two-qubit gates • Universal gate sets • Circuit diagrams and notation • Circuit composition and decomposition	4H	August 30, 2026	10AM – 2PM	On campus
Day 10	Introduction to Quantum Computing 3 • Quantum circuit notation and reading order • Gate sequencing and circuit composition • State preparation and measurement flow • Simple application circuits	4H	August 31, 2026	10AM – 2PM	On campus