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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Artificial Intelligence
- Instructor(s)
- Machida Motoya Alexander Shibakov
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- ART.T454
- Credits
- 2
- Academic year
- 2019
- Offered quarter
- 1-2Q
- Syllabus updated
- 2019/6/13
- Lecture notes updated
- 2019/6/20
- Language used
- English
- Access Index
-
- Supplementary documents
Lecture
Lecture 1 Preliminary discussion for mathematics of qunatum computation, and class organization.
2019.5.22(Wed.) 5-6Session
Lecture
Lecture 2 Physics and mathematics of simple (single qubit) systems.
2019.5.22(Wed.) 7-8Session
Lecture
Lecture 3 Quantum state spaces: tensor products and n qubit systems
2019.5.22(Wed.) 9-9Session
Lecture
Lecture 4 Quantum state spaces: tensor products and n qubit systems
2019.5.29(Wed.) 5-5Session
Lecture
Lecture 5 Quantum probability, entanglement, and Bell's theorem
2019.5.29(Wed.) 6-7Session
Lecture
Lecture 6 Quantum state transformations and quantum gates
2019.5.29(Wed.) 8-9Session
Lecture
Lecture 7 Introduction to quantum computation
2019.6.5(Wed.) 5-6Session
Lecture
Lecture 8 Simple quantum algorithms: Deutsch-Jozsa, and Simon's problems
2019.6.5(Wed.) 7-8Session
Lecture
Lecture 9 Shor’s algorithm and quantum state observations
2019.6.5(Wed.) 9-9Session
Lecture
Lecture 10 Shor’s algorithm and quantum state observations
2019.6.12(Wed.) 5-5Session
Lecture
Lecture 11 Introduction to Monte Carlo simulation
2019.6.12(Wed.) 6-7Session
Lecture
Lecture 12 Markov chain Monte Carlo (MCMC) algorithms
2019.6.12(Wed.) 8-9Session
Lecture
Lecture 13 Introduction to Brownian motion
2019.6.19(Wed.) 5-6Session
Lecture
Lecture 14 Introduction to stochastic differential equations (SDE)
2019.6.19(Wed.) 7-8Session
Lecture
Lecture 15 Pitman theorem, Kent characteristic diffusions, and an application of SDE to Monte Carlo simulations
2019.6.19(Wed.) 9-9Session
Lecture
Lecture 16 Pitman theorem, Kent characteristic diffusions, and an application of SDE to Monte Carlo simulations
2019.6.26(Wed.) 5-5Session
Lecture
Lecture 17 When do we stop running a diffusion process and declare a sample from a stationary distribution?
2019.6.26(Wed.) 6-7Session
Lecture
Lecture 18 Can Monte Carlo methodology allow us to implement Shor’s algorithm?
2019.6.26(Wed.) 8-9Session
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