Simple Quantum Circuit - Qiskit Typing CST Test
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Simple Quantum Circuit — Qiskit Code
A minimal Qiskit example creating a 2-qubit quantum circuit, applying a Hadamard gate, and measuring the qubits.
from qiskit import QuantumCircuit, Aer, execute
# Create a 2-qubit quantum circuit
qc = QuantumCircuit(2, 2)
# Apply a Hadamard gate to qubit 0
qc.h(0)
# Apply CNOT gate
qc.cx(0, 1)
# Measure qubits
qc.measure([0,1], [0,1])
# Execute on simulator
simulator = Aer.get_backend('qasm_simulator')
result = execute(qc, simulator).result()
counts = result.get_counts()
print('Result:', counts)Qiskit Language Guide
Qiskit is an open-source Python framework for quantum computing, allowing users to design, simulate, and execute quantum circuits on both simulators and real quantum hardware.
Primary Use Cases
- ▸Designing and simulating quantum circuits
- ▸Running quantum algorithms on IBM Quantum hardware
- ▸Quantum chemistry simulations
- ▸Quantum machine learning experiments
- ▸Optimization and combinatorial problem solving
Notable Features
- ▸Python-based quantum circuit construction
- ▸Simulation of quantum circuits on classical computers
- ▸Access to IBM Quantum cloud devices
- ▸Built-in visualization tools for circuits and results
- ▸Integration with machine learning and optimization modules
Origin & Creator
Qiskit was created by IBM Research in 2017 to provide an open-source framework for quantum computing accessible to both researchers and developers.
Industrial Note
Qiskit is widely used in research, quantum algorithm development, optimization problems, chemistry simulations, and quantum machine learning.
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Qiskit Bell State CircuitQiskit GHZ State CircuitQiskit Superposition ExampleQiskit Quantum Teleportation CircuitQiskit Quantum Phase EstimationQiskit Grover's Search Algorithm ExampleQiskit Deutsch-Jozsa Algorithm ExampleQiskit Quantum Fourier Transform ExampleQiskit Variational Quantum Eigensolver (VQE) Example