Course Identification

Title:

Quantum information processing

Code:

20221022

Lecturers and Teaching Assistants

Lecturers:

Dr. Amit Finkler, Dr. Serge Rosenblum

TA's:

Inbar Zohar, David Schwerdt

Course Schedule and Location

Year:

2022

Semester:

Second Semester

When / Where:

Sunday, 14:15 - 16:00, Weissman, Auditorium
Tuesday, 14:15 - 15:00, Weissman, Auditorium

Tutorials
Tuesday, 15:15 - 16:00, Drori Auditorium

First Lecture:

03/04/2022

End date:

19/08/2022

Field of Study, Course Type and Credit Points

Physical Sciences: Lecture; Elective; Regular; 4.00 points
Chemical Sciences: Lecture; Elective; Regular; 4.00 points

Comments

On Sunday, 19/6, the lecture will be held at FGS room A.

Quantum information processing aims at using quantum physics to create and construct devices that could significantly exceed the capabilities of today's classical computation and communication systems. In this course, we will introduce the basic concepts of this field with emphasis on physical implementations in systems such as superconducting qubits, trapped ions and impurity spins in the solid state.

On Sunday, 19/6, the lecture will be held at FGS room A.

Prerequisites

Reasonable knowledge of quantum mechanics (e.g. veterans of Quantum Mechanics 1)
Basic knowledge in Python is recommended but no obligatory
A good grasp of linear algebra

Restrictions

Participants:

30

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

Assignments:

50%

Final:

50%

Evaluation Type

Examination

Scheduled date 1

Date / due date

18/07/2022

Location

N/A

Time

1000-1300

Remarks

N/A

Scheduled date 2

Date / due date

14/08/2022

Location

N/A

Time

1000-1300

Remarks

N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

Overview and motivation
Qubits & quantum circuits
Entanglement and quantum teleportation
Physical implementations
Quantum algorithms
Decoherence processes
Quantum error correction
Fault-tolerant quantum computing

Learning Outcomes

Upon successful completion of the course students will be able to:

Be able to read a quantum circuit and understand the quantum information process behind it.
Understand the importance and challenges of quantum information processing.

Reading List

Michael A. Nielsen & Issac L. Chuang | Quantum Information and Quantum Computation. Two hardcopies 004.1 NIE. DOI: 10.1017/CBO9780511976667
Preskill's lecture notes (website)
http://www.theory.caltech.edu/~preskill/ph219/index.html#lecture
N. David Mermin | Quantum Computer Science - an Introduction | Cambridge 2007. DOI: 10.1017/CBO9780511813870

Website

FGS moodle