Additional Information
Course Description:
This course offers an introduction to the fascinating world of quantum computing, focusing on its fundamental concepts and algorithms. Additionally, as a unique feature, the instructor will guide students through several interdisciplinary areas where quantum computing intersects with fields such as computational complexity, cryptography, machine learning, networking, and information theory. This unique approach aims to equip students with a broad spectrum of quantum-related skills, preparing them to contribute to the rapidly evolving field of quantum computing, which offers abundant opportunities in both industry and academia.
Topics include:
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Basics of quantum information, the linear-algebra formalism
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Entanglement and nonlocality
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The quantum circuit model
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Basic quantum protocols, such as quantum teleportation and superdense coding
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Basic quantum algorithms, such as Simons' algorithm, the Quantum Fourier Transform, Phase Estimation, Shor's Factoring algorithm, Grover search, amplitude
amplification
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Quantum error correction and fault-tolerance
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Selective topics from quantum cryptography, proof of quantumness, quantum information theory, quantum complexity theory, quantum machine learning
No background in quantum physics is required. The only prerequisites are familiarity with undergraduate-level linear algebra and probability theory.
Make-up Quiz/Exam Policy:
You may apply for a make-up quiz/exam if all of the following conditions are met:
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You must provide a valid justification along with supporting documentation.
For example, in the case of illness, a doctor's note clearly stating your condition is required.
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You must email the instructor at least 4 hours before the start of the lecture in which the quiz is administered.
Genuine emergency cases will be handled separately and typically require valid justification along with supporting documentation.
Academic Honesty:
Students are reminded to carefully review and adhere to the University's policies and regulations on academic honesty, as well as the disciplinary guidelines and procedures governing breaches of these rules.
We emphasize the importance of strictly following all examination regulations. During an exam, if an invigilator observes behavior deemed suspicious or potentially indicative of academic dishonesty, they are authorized to issue a warning, record the student's name, and report the incident directly to the Faculty Disciplinary Committee (FDC) for investigation.
If the FDC determines that a violation has occurred, the student will receive an automatic failure for the course and may face additional disciplinary actions in accordance with University policy.
All students are strongly encouraged to familiarize themselves with the University's official guidelines on examination conduct and academic integrity. Please refer to the following links:
In particular, the following sections are relevant to course examinations:
Students with Special Educational Needs (SEN): CUHK is committed to promoting equal opportunities in academic pursuits for all students. To support full-time students with special educational needs (SEN) in fully participating in campus life and enhancing their learning experience, the SEN Service (SENS) provides tailored support based on individual needs. These may include learning aids and equipment, special arrangements for classes or examinations, accessible facilities, and assistance with hostel visits and accommodations.
Students who require these services should first register with the
Office of Student Affairs (OSA) and undergo an assessment by the SEN team. If a student is identified as needing SEN support, the recommended academic accommodations will be communicated to the SEN coordinator of the relevant teaching unit, who will then inform the course instructor accordingly. If you have completed the registration and assessment process with the SEN team at OSA, please email the course instructor to discuss arrangements that best accommodate your needs.
Use of AI tools:
This course follows "Approach 2 – Use only with prior permission" according to
the University's policy on the use of AI tools. In particular, the use of AI tools is prohibited in all assessment-related components (including quizzes, the midterm, and the final exam). However, students are permitted to use AI tools for non-assessed learning activities, such as practicing exercise problems that do not count toward the final grade.