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Quantum Information Science
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This is an advanced graduate course on quantum computation and quantum information, for which prior knowledge of quantum mechanics is required. Topics include quantum computation, advanced quantum error correction codes, fault tolerance, quantum algorithms beyond factoring, properties of quantum entanglement, and quantum protocols and communication complexity.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Physical Science
Physics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Chuang, Isaac
Shor, Peter
Date Added:
02/01/2006
Quantum Information Science II
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CC BY-NC-SA
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This three-module sequence of courses covers advanced topics in quantum computation and quantum information, including quantum error correction code techniques; efficient quantum computation principles, including fault-tolerance; and quantum complexity theory and quantum information theory. Prior knowledge of quantum circuits and elementary quantum algorithms is assumed. These courses are the second part in a sequence of two quantum information science subjects at MIT.
The three modules comprise:
8.371.1x: Quantum states, noise and error correction  
8.371.2x: Efficient quantum computing—fault tolerance and algorithms  
8.371.3x: Quantum complexity theory and information theory
This course was organized as a three-part series on MITx by MIT’s Department of Physics and is now archived on the Open Learning Library, which is free to use. You have the option to sign up and enroll in each module if you want to track your progress, or you can view and use all the materials without enrolling.

Subject:
Applied Science
Computer Science
Engineering
Mathematics
Physical Science
Physics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Chuang, Isaac
Harrow, Aram
Date Added:
02/01/2018
System Safety
Conditional Remix & Share Permitted
CC BY-NC-SA
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0.0 stars

This course covers important concepts and techniques in designing and operating safety-critical systems. Topics include the nature of risk, formal accident and human error models, causes of accidents, fundamental concepts of system safety engineering, system and software hazard analysis, designing for safety, fault tolerance, safety issues in the design of human-machine interaction, verification of safety, creating a safety culture, and management of safety-critical projects. Includes a class project involving the high-level system design and analysis of a safety-critical system.

Subject:
Applied Science
Business and Communication
Engineering
Management
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Leveson, Nancy
Date Added:
02/01/2016