Parameterized Gate - Cirq Typing CST Test
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Parameterized Gate — Cirq Code
Uses a parameterized rotation gate on a qubit.
import cirq
import sympy
q = cirq.GridQubit(0,0)
theta = sympy.Symbol('theta')
circuit = cirq.Circuit(cirq.rx(theta)(q), cirq.measure(q,key='m'))
sim = cirq.Simulator()
result = sim.run(circuit,{theta:1.57},repetitions=500)
print(result)Cirq Language Guide
Cirq is an open-source Python framework for quantum computing, developed by Google, focused on designing, simulating, and running quantum circuits on NISQ (Noisy Intermediate-Scale Quantum) devices.
Primary Use Cases
- ▸Designing and simulating quantum circuits
- ▸Running algorithms on Google's quantum processors
- ▸Optimization and combinatorial problem solving
- ▸Quantum machine learning experiments
- ▸Noise-aware quantum algorithm development
Notable Features
- ▸Python-based quantum circuit construction
- ▸High-fidelity simulation with noise models
- ▸Interfaces with Google Quantum processors (Sycamore, etc.)
- ▸Gate-level control including custom operations
- ▸Integration with classical optimization routines
Origin & Creator
Cirq was developed by Google Research starting in 2017 to provide a Python-based framework for building quantum algorithms, simulations, and experiments, particularly for NISQ devices.
Industrial Note
Cirq is widely used in quantum algorithm research, NISQ hardware experiments, quantum simulation, optimization problems, and quantum machine learning.