Qiskit: Difference between revisions

From wikiluntti
Line 31: Line 31:
out_state = result.get_statevector()
out_state = result.get_statevector()
print(out_state) # Display the output state vector
print(out_state) # Display the output state vector
</syntaxhighlight>
<syntaxhighlight>
qc.measure_all()
qc.draw()
result = execute(qc,backend).result()
counts = result.get_counts()
plot_histogram(counts)
</syntaxhighlight>
Take other initial state
<syntaxhighlight>
initial_state = [1/sqrt(2), 1j/sqrt(2)]  # Define state |q>
</syntaxhighlight>
</syntaxhighlight>



Revision as of 11:38, 21 November 2020

Introduction

https://quantum-computing.ibm.com/

https://quantum-computing.ibm.com/challenges/fall-2020

https://quantum-computing.ibm.com/jupyter/user/IBMQuantumChallenge2020/week-1/ex_1a_en.ipynb

Theory

Installation

Installation https://qiskit.org/documentation/install.html

conda create -n qiskit python=3
conda activate qiskit
pip install qiskit _OR_ pip install qiskit[visualization]

Setting Up Qiskit

https://qiskit.org/textbook/ch-states/representing-qubit-states.html

qc = QuantumCircuit(1)  # Create a quantum circuit with one qubit
initial_state = [0,1]   # Define initial_state as |1>
qc.initialize(initial_state, 0) # Apply initialisation operation to the 0th qubit
qc.draw('text')  # Let's view our circuit (text drawing is required for the 'Initialize' gate due to a known bug in qiskit)
result = execute(qc,backend).result() # Do the simulation, returning the result
out_state = result.get_statevector()
print(out_state) # Display the output state vector
qc.measure_all()
qc.draw()
result = execute(qc,backend).result()
counts = result.get_counts()
plot_histogram(counts)

Take other initial state

initial_state = [1/sqrt(2), 1j/sqrt(2)]  # Define state |q>

Quantum Gates

Exercises

Week 1

Week 2

Week 3