Cirq-Qulacs
Feature
- Fast quantum circuit simulation on Cirq with qulacs backend
- It also supports CUDA for high performance simulation
Performance
Test enviornment
- Depth 8 Quantum Volume circuit generated by openqasm
- Nvidia Tesla V100
- Intel Xeon E5-2690v4
- Circuit compression disabled
Installation
Requirements
Install cirq-qulacs from source
Install
git clone https://github.com/qulacs/cirq-qulacs.git
cd cirq-qulacs
python setup.py install
Uninstall
pip uninstall cirqqulacs
Sample code
CPU
import cirq
from cirqqulacs import QulacsSimulator
qubit_n = 3
qubits = [cirq.LineQubit(i) for i in range(qubit_n)]
circuit = cirq.Circuit()
circuit.append(cirq.ops.X(qubits[0]))
circuit.append(cirq.ops.rx(np.pi/5.5).on(qubits[1]))
circuit.append(cirq.ops.CCZ(qubits[0], qubits[1], qubits[2]))
result = QulacsSimulator().simulate(circuit)GPU
import cirq
from cirqqulacs import QulacsSimulatorGpu
qubit_n = 3
qubits = [cirq.LineQubit(i) for i in range(qubit_n)]
circuit = cirq.Circuit()
circuit.append(cirq.ops.X(qubits[0]))
circuit.append(cirq.ops.rx(np.pi/5.5).on(qubits[1]))
circuit.append(cirq.ops.CCZ(qubits[0], qubits[1], qubits[2]))
result = QulacsSimulatorGpu().simulate(circuit)License
MIT License (see LICENSE file).