| Language of instruction : English |
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Sequentiality
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Advising sequentiality bound on the level of programme components
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Advice
It is advised that this course is taken in tandem with specialisation courses '4908 Quantum sensors for cross-disciplinary fields', '4909 Advanced quantum effects in biology', '4910 Quantum materials for breakthrough technologies'
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| Degree programme | | Study hours | Credits | P1 SBU | P1 SP | 2nd Chance Exam1 | Tolerance2 | Final grade3 | |
 | 2nd year Master of Materiomics traject opleidingsonderdelen | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical |  |
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| | | Learning outcomes |
- EC
| EC 3. The graduate of the Master of Materiomics programme has insight in how modelling or synthesis methods predict and affect functional properties and is able to design sustainable materials based on in-operando functionality making optimal use of the synergy between computational and experimental methods. | | | - DC
| DC3.8 The student has knowledge of computational concepts and methods. [learning pathway interdisciplinarity - identification: the student knows which phenomena are studied in the various disciplines and which methods and theories are used] | - EC
| EC 4. The graduate of the Master of Materiomics programme is able to autonomously consult, summarise and critically interpret international scientific literature, reference it correctly and use it to explore and identify new domains relevant to the field. | | | - DC
| DC4.1 The student is able to look up and select appropriate international scientific literature from a variety of disciplines related to materials-related problems or research questions. | | | - DC
| DC4.2 The student is able to correctly and completely reference to scientific literature. | | | - DC
| DC4.3 The student is able to critically interpret, evaluate, compare, and/or summarize relevant scientific literature related to materials-related problems or research questions. | | | - DC
| DC4.4 The student is able to use relevant scientific literature to solve materials-related problems and/or to identify and explore new areas relevant to the field. | - EC
| EC 5. The graduate of the Master of Materiomics programme can independently design and carry out scientific research: formulate a research question and hypothesis, select the appropriate methods and techniques, critically analyse and interpret the results, formulate conclusions, report scientifically and manage research data. | | | - DC
| DC5.3 The student is able to think critically about a (new) experimental or theoretical methodology to achieve the predefined research objective, select and/or develop valid methods and techniques, write them down and carry them out. | | | - DC
| DC5.4 The student knows and understands the methods required to process, analyze, and interpret data. | | | - DC
| DC5.5 The student can, within the possibilities and limitations of the given context or circumstances, accommodate and direct changes in the planning of a research process. | | | - DC
| DC5.6 The student is able to formulate appropriate conclusions, based on the data analysis and interpretation. | | | - DC
| DC5.7 The student is able to apply predetermined criteria to critically evaluate the quality of their own research and that of others. | | | - DC
| DC5.8 The student is able to formulate possible ideas for further research based on the conclusions of an investigation or assignment. | | | - DC
| DC5.10 The student is able to apply various scientific reporting methods e.g., project reporting, article, poster/oral presentation,.... | | | - DC
| DC5.11 The student is able to manage a large (own) research project, consistently integrating various research components, from formulating the problem to reporting and critically discussing results. | - EC
| EC 6. The graduate of the Master of Materiomics programme is able to communicate in both written and spoken form and to take a well-argued position in a scientific discussion, going from a general to a specialist level, adapted to the target audience. | | | - DC
| DC6.1 The student is able to report orally and in writing in an adequate manner. | | | - DC
| DC6.2 The student is able to adapt to the purpose and target audience of the communication, i.e., can empathize with the target audience and make appropriate choices regarding language use and format. | | | - DC
| DC6.3 The student is able to take and defend a logically constructed position, based on relevant and scientifically supported arguments. | - EC
| EC 10. The graduate of the Master of Materiomics programme is able to autonomously acquire new knowledge and monitor, evaluate and adjust one’s learning process. | | | - DC
| DC10.1 The student can reflect on their own strengths and areas for improvement and use feedback to improve their own work and competences. | | | - DC
| DC10.3 The student is able to autonomously acquire, process, and critically interpret new information. | | | - DC
| DC10.6 The student is able to reflect critically on his/her own way of thinking/reasoning and that of fellow students about a specific (material) problem. On the basis of this, the student is able to improve his/her own reasoning and, if necessary, look for complementary views in function of a specific (material) problem. [learning pathway interdisciplinarity - reflection: the student considers different perspectives and is able to reflect critically on them] |
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| | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
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The student should have prior knowledge of the following general physics topics:
• Basic knowledge of general optics (geometric optics, wave optics)
• Basic knowledge of linear algebra (vector space, matrices, eigenvectors and eigenvalues, linear operators...)
• Basic knowledge of quantum mechanics (postulates of quantum mechanics, Schrödinger equation, angular momentum, spin, particle identity) and basic concepts from solid state physics
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The aim of this course is to provide knowledge on basic concepts of quantum communication and computation which will allow students to familiarize themselves with this topic. During the course students will gain insight into existing problems in classical cryptography and what quantum mechanics can offer for secure communication, students will learn where limits of classical computational power are and why quantum computing can outperform classical approaches. The students will also obtain practical skills on simulation of basic quantum circuits using Python package QISKIT.
The course covers the following topics:
- Quantum entanglement, EPR paradox, GHZ experiment, Bell inequality, Quantum logic
- Classical cryptography, Non-cloning theorem, Quantum key distribution
- Unitary transformations, Logic gates, Single qubit gates, Multiqubit gates
- Quantum supremacy, Deutsch's test, Grover's algorithm, Shor's algorithm
- Problem of decoherence, Quantum errors
- Qubits in physical systems, DiVincenzo criteria, Possible implementations of quantum computer
- Introduction to Python package QISKIT
Learning goals of this course are:
- The student can understand the concepts and working principles of quantum communication and quantum computation as well as their applications in quantum technology
- The student can independently review recent literature and improve his/her understanding of novel quantum communication protocols and quantum computation algorithms. The student can use the scientific literature to study certain topics on his/her own and propose them to the team
- The student can independently process and apply the provided basic knowledge and skills to simulate simple quantum circuits
- The student can translate a practical experimental problem into the computational context and report the results in writing and orally
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Discussion/debate ✔
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Educational learning conversation ✔
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Exercises ✔
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Homework ✔
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Presentation ✔
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Period 1 Credits 3,00
| Evaluation method | |
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| Written evaluaton during teaching periode | 20 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
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| Oral evaluation during teaching period | 20 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
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| Oral exam | 60 % |
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| Transfer of partial marks within the academic year | ✔ |
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| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
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| Additional information | In case of an "exam contract", student will be asked to perform a task using Qiskit instead of the presentation and quizzes during the teaching period. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Explanation (English) | The written evaluation and presentation during the teaching period cannot be retaken, but will be replaced with an alternative assignment. |
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| Compulsory course material |
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All slides, readers, papers and other supporting materials will be provided on Blackboard.
Own PC is required by a student. Required software: Python 3.X.XX and Qiskit package (It is free software, nothing needs to be purchased). |
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| Recommended reading |
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- Quantum Information,Stephen Barnett,OUP Oxford,9780198527633,Oxford Master Series in Physics
- Quantum Computation and Quantum Information,Michael A. Nielsen, Isaac L. Chuang,10th Anniversary Edition,Cambridge University Press,9781107002173
- An Introduction to Quantum Communications Networks,Mohsen Razavi,Morgan & Claypool Publisher,9781681746524,Online ISBN: 978-1-6817-4653-1; online: https://iopscience.iop.org/book/mono/978-1-6817-4653-1
- An Introduction to Quantum Computing,Phillip Kaye, Raymond Laflamme, and Michele Mosca,OUP Oxford,9780198570493
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| Recommended course material |
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Laptop/desktop, Python 3.x, IDE Jupyter Notebook, Python libraries: NumPy, Matplotlib, Qiskit |
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| Exchange Programme materiomics | Optional | 81 | 3,0 | 81 | 3,0 | Yes | Yes | Numerical | |
|
| |
|
|
The student should have prior knowledge of the following general physics topics:
• Basic knowledge of general optics (geometric optics, wave optics)
• Basic knowledge of linear algebra (vector space, matrices, eigenvectors and eigenvalues, linear operators...)
• Basic knowledge of quantum mechanics (postulates of quantum mechanics, Schrödinger equation, angular momentum, spin, particle identity) and basic concepts from solid state physics
|
|
|
|
The aim of this course is to provide knowledge on basic concepts of quantum communication and computation which will allow students to familiarize themselves with this topic. During the course students will gain insight into existing problems in classical cryptography and what quantum mechanics can offer for secure communication, students will learn where limits of classical computational power are and why quantum computing can outperform classical approaches. The students will also obtain practical skills on simulation of basic quantum circuits using Python package QISKIT.
The course covers the following topics:
- Quantum entanglement, EPR paradox, GHZ experiment, Bell inequality, Quantum logic
- Classical cryptography, Non-cloning theorem, Quantum key distribution
- Unitary transformations, Logic gates, Single qubit gates, Multiqubit gates
- Quantum supremacy, Deutsch's test, Grover's algorithm, Shor's algorithm
- Problem of decoherence, Quantum errors
- Qubits in physical systems, DiVincenzo criteria, Possible implementations of quantum computer
- Introduction to Python package QISKIT
Learning goals of this course are:
- The student can understand the concepts and working principles of quantum communication and quantum computation as well as their applications in quantum technology
- The student can independently review recent literature and improve his/her understanding of novel quantum communication protocols and quantum computation algorithms. The student can use the scientific literature to study certain topics on his/her own and propose them to the team
- The student can independently process and apply the provided basic knowledge and skills to simulate simple quantum circuits
- The student can translate a practical experimental problem into the computational context and report the results in writing and orally
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|
|
|
|
|
|
|
|
Lecture ✔
|
|
|
|
Response lecture ✔
|
|
|
|
Small group session ✔
|
|
|
|
|
|
|
|
Discussion/debate ✔
|
|
|
|
Educational learning conversation ✔
|
|
|
|
Exercises ✔
|
|
|
|
Homework ✔
|
|
|
|
Presentation ✔
|
|
|
|
Period 1 Credits 3,00
| Evaluation method | |
|
| Written evaluaton during teaching periode | 20 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
|
|
|
|
|
|
|
|
|
|
| Oral evaluation during teaching period | 20 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
|
|
|
|
|
|
|
|
| Oral exam | 60 % |
|
| Transfer of partial marks within the academic year | ✔ |
|
| Conditions transfer of partial marks within the academic year | The student obtains at least 10/20. |
|
|
|
|
|
|
|
|
| Additional information | In case of an "exam contract", student will be asked to perform a task using Qiskit instead of the presentation and quizzes during the teaching period. |
|
Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
|
| Explanation (English) | The written evaluation and presentation during the teaching period cannot be retaken, but will be replaced with an alternative assignment. |
|
|
|
|
|
| Compulsory course material |
| |
All slides, readers, papers and other supporting materials will be provided on Blackboard.
Own PC is required by a student. Required software: Python 3.X.XX and Qiskit package (It is free software, nothing needs to be purchased). |
|
|
| Recommended reading |
| |
- Quantum Information,Stephen Barnett,OUP Oxford,9780198527633,Oxford Master Series in Physics
- Quantum Computation and Quantum Information,Michael A. Nielsen, Isaac L. Chuang,10th Anniversary Edition,Cambridge University Press,9781107002173
- An Introduction to Quantum Communications Networks,Mohsen Razavi,Morgan & Claypool Publisher,9781681746524,Online ISBN: 978-1-6817-4653-1; online: https://iopscience.iop.org/book/mono/978-1-6817-4653-1
- An Introduction to Quantum Computing,Phillip Kaye, Raymond Laflamme, and Michele Mosca,OUP Oxford,9780198570493
|
|
|
| Recommended course material |
| |
Laptop/desktop, Python 3.x, IDE Jupyter Notebook, Python libraries: NumPy, Matplotlib, Qiskit |
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.16.9, section 2. |
3 Education, Examination and Legal Position Regulations art.15.1, section 3.
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| Legend |
| SBU : course load | SP : ECTS | N : Dutch | E : English |
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