Welcome to the Qiskit-Qulacs Beginner's Guide! This guide is designed to provide new users with an overview of the Qiskit-Qulacs project and its capabilities. It will walk you through the installation process, introduce you to the basics of the API, and provide an example problem to solve using the software.
Qiskit-Qulacs is a plugin for Qiskit that integrates the Qulacs library as a backend. The project aims to provide users with a powerful tool for quantum computing simulations and algorithm development. By leveraging Qulacs' high-performance quantum circuit simulator, users can explore and experiment with various quantum computing concepts and algorithms.
For detailed installation instructions, read the Installation Guide.
Once installed, you can use Qiskit-Qulacs through the Qiskit API. Here are some key points to understand:
- You can access Qulacs Backend through
QualcsProvider
class and can perform statevector simulations. - For machine learning application, we can created a
QualcsEstimator
class along withQulacsEstimatorGradient
for efficient forward and backward passes.
To demonstrate the usage of Qiskit-Qulacs, let's solve a simple example problem: creating a 3 qubit GHZ state.
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit
from qiskit.visualization import plot_histogram
from qiskit_qulacs import QulacsProvider
# Create a bell state
qc = QuantumCircuit(3)
qc.h(0)
qc.cx(0, 1)
qc.cx(0, 2)
# Use Qiskit-Qulacs to run the circuit
backend = QulacsProvider().get_backend("qulacs_simulator")
result = backend.run(qc, shots=1024, seed_simulator=42).result()
counts = result.get_counts()
# Visualization
plot_histogram(counts)
plt.show()
Output:
Congratulations! You have completed the Qiskit-Qulacs Beginner's Guide. You should now have a basic understanding of the project, how to install it, and how to use the Qiskit-Qulacs API. Feel free to explore more advanced features and experiment with different quantum circuits and algorithms. Happy quantum computing!