4 Days Quantum Computing Specialization

Topic 1: Math Primer for Quantum Computing

• Complex Number
• Vector Space
• Inner Product
• Basis Vectors and Orthonormal Basis
• Eigenvector and Eigenvalue
• Hilbert Space
• Unitary Operators and Adjoint Operators
• Hermitian Matrices
• Matrix Exponentials
• Tensor Product and Outer Product
• Bra-Ket (Dirac) Notation

Topic 2: Quantum Physics Primer for Quantum Computing

• Historical Background of Quantum Mechanics
• Wave Particle Duality and Heisenberg's Uncertainty Principle
• Matrix Mechanics and Wave Mechanics
• Solutions to Schrodinger's Equation
• Dirac's Formulation of Quantum Mechanics
• Postulates of Quantum Mechanics
• Superposition and Entanglement
• EPR Paradox and Bell's Theorem
• Quantum Measurement
• Copenhagen Interpretation
• Quantum Phase
• Aharonov-Bohm Effect
• Introduction to Feynman Path Integral

Topic 3: Two Level Quantum System

• What is Two Level Quantum System
• Overview of Quantum Computing and Qubit
• State and Bloch Sphere Representation of a Qubit
• Time Evolution of a Qubit
• Introduction to Density Matrix

Topic 4: Introduction to Quantum Computing

• What is Quantum Computer
• History of Quantum Computing
• Physical Implementation of Qubits
• Quantum Computing Platforms
• Quantum Superposition
• Quantum Entanglement
• Applications of Quantum Computing

Topic 5: Quantum Gates and Circuits

• Pauli Gates
• Hadamard Gate and Controlled-NOT Gate
• Rotation Gates and Toffoli Gates
• Phase Kickbacks

Topic 6: Quantum Algorithms

• Oracle Formulation
• Quantum Teleportation
• Superdense Coding
• Deutsch-Jozsa Algorithm
• Bernstein-Vazirani Algorithm
• Grover's Algorithm
• Quantum Fourier Transform (QFT)
• Shor's Algorithm
• Quantum Key Distribution (QKD) - BB84 Protocol

Topic 7: Quantum Computing Applications 

• Quantum Machine Learning
• Quantum Optimization
• Quantum Data Embedding

Prerequisite

This course assumes the following knowledge

• Basic Python

Software Requirement

Please download and install the following software prior to the class

• Python 3.x https://www.python.org/downloads/

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

9-     Select your Immediate Officer and click Next

10-  Select a Training Provider, then click Next

11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

14-  Please select a Course Title and Type of Training

15-  Select the correct type of training according to the actual type of training, or as mentioned in the training brochure:

16-  Please key in the Training Location and click Next

17-  Please select the Level of Certification and click Next

18-  Please follow the instructions and key in trainee details

19-  Click Add Batch, then click Save

20-  Click Add Trainee Details

21-  Please key in all the required details, then click Add

22-  Click Add if there are more participants. Once done, click Save

23-  Click Next

24-  Please key in the course fees and allowance details, then click Save

25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

• Quantum Research Scientist
• Quantum Software Developer
• Theoretical Physicist (focused on computation)
• Quantum Algorithm Developer
• Cryptography Researcher (quantum-safe algorithms)
• Computer Science Researcher (quantum specialization)
• Quantum Hardware Engineer
• Quantum Information Scientist
• Data Scientist (exploring quantum methods)
• Quantum Firmware Developer
• High-Performance Computing Specialist (exploring quantum)
• Postgraduate Students in Quantum Physics or Computer Science
• Quantum Technology Consultant
• Systems Architect (focused on quantum hardware)
• Computational Chemist (using quantum simulations).

Dr. Nouar AlDahoul: Dr. Nouar AlDahoul is an AI researcher and developer with a PHD degree from IIUM Malaysia. She has +7 years of hands-on experience in machine learning including deep and reinforcement learning. She has been working as a researcher in many research centers such as UM, IIUM, MMU universities. She has published many papers in different journals and conferences. She has conducted more than 30 classes in Tertiary Malaysia Courses. Her research interests are Deep Learning, Reinforcement learning, computer vision, NLP, Data visualization and analysis, and IoT.