Introduction
to Quantum Technology (¶q¤l¬ì§Þ·§½×) 2025
Lecturer: ¦¿®¶·ç
Teaching Assistant (TA):
¿à
«a¦t
Time: (9/26)¶g¤ 13:00~15:50
Place: ¥ú¹q¤j¼Ó IL-112
Goal: To guide students in understanding the basic principles,
especially multi-partite entanglement, of quantum computing
through programming. (±a»â¾Ç¥Í³z¹Lµ{¦¡³]p¤F¸Ñ¶q¤lpºâ°ò¥»ì²z)
Scoring¡G
- project (programming) (100%)
Textbooks:
Textbook Source Code:
Reference Books:
- ±i¤¸µ¾, ¶q¤l¹q¸£»P¶q¤lpºâ, ùÖ®p¸ê°T, 2020.
- ³¯«Ø§»(Ķ), ¶q¤lpºâ¹ê¾Ô, ùÖ®p¸ê°T, 2020.
- ²ø¥Ã¸Î(Ķ), ¹Ï¸Ñ¶q¤l¹q¸£¤Jªù, ÁyÃÐ, 2020.
- ªL§ÓÂEµ¥, ¶q¤l¹q¸£À³¥Î»P¥@¬É¯ÅÄvÁɹê°È, 2021.
- Jack D. Hidary, Quantum Computing: An Applied Approach (2nd
Ed), 2021.
- Chris Bernhardt, Quantum Computing for Everyone, 2020.
- Nihal Mehta, Quantum Computing -- Program Next-Gen Computers
for Hard, Real-World Applications, 2020.
- Michael A. Nielsen, and Isaac L. Chuang, Quantum Computation
and Quantum Information, 2002.
Syllabus:
- (9/26) Quantum programming
for the first time (Introduction to IBM Q quantum computer
and D-Wave quantum computer) (qexp.pptx)(QBookCh1.zip)
(QBookCh2.zip)(QBookCh3.zip)(QBookCh4.zip)(QBookCh5.zip)(QBookCh6.zip)(QBookCh7.zip)
- Use Qiskit 0.XX to be
compatible with my source
!pip install qiskit[visualization]==0.43.0 #This is an
old but stable version that is compatible with my codes
!pip install qiskit.aer
- Migrate from Qiskit 0.XX to
Qiskit 1.XX
1. !pip install qiskit.aer => !pip
install qiskit-aer
2. from qiskit.providers.aer import AerSimulator => from
qiskit_aer import AerSimulator
3. 3. from qiskit import execute => from qiskit import
transpile
4. The qiskit.execute function is not available in Qiskit
1.XX. This function served as a high-level wrapper around the
transpile and run functions in Qiskit. Instead of
qiskit.execute, use the transpile function followed by
backend.run().
# Legacy path
from qiskit import execute
job = execute(circuit, backend)
# New path
from qiskit import transpile
new_circuit = transpile(circuit, backend)
job = backend.run(new_circuit)
- #Installing
the following two packages for running quantum circuit with
simulator in Qiskit 1.xx
!pip install qiskit[visualization]==1.2 #Install Qiskit 1.2
with visualization tools
!pip install qiskit-aer #install qiskit.aer for version
before 1.X
- from qiskit import
transpile #for qiskit 1.0 or later
from qiskit_aer import AerSimulator #for qiskit 1.0 or later
from qiskit.visualization import plot_histogram
backend = AerSimulator()
transpiled_circuit = transpile(qc, backend=backend)
job = backend.run(transpiled_circuit,shots = 1000)
result = job.result()
counts = result.get_counts()
total_shots = sum(counts.values())
prob = {key: value / total_shots for key, value in
counts.items()}
plot_histogram(prob)
- Project:
(Due 10/02 23:59) (ú¥æipynbÀÉ®×) (¥i°Ñ¦ÒBell-State.ipynb)
¿é¤J¾ã¼Æn (2 <= n <=
12)¡A²£¥ÍnÓ¶q¤l¦ì¤¸ªºGHZªÈÄñºA¶q¤l½u¸ô¡A¨Ã´ú¶q(shots=1000)¤ÎÅã¥Ü¨ä¶q¤l¦ì¤¸ª¬ºA