This version is compatible with the default.qubit in pennylane. We put an additional minus sign in front of the circuit parameters
This repository has been moved to XanaduAI/pennylane-qulacs.
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
Qulacs is a high-performance quantum circuit simulator for simulating large, noisy or parametric quantum circuits. Implemented in C/C++ and with python interface, Qulacs achieved both high speed circuit simulation and high usability.
This PennyLane plugin allows the use of the Qulacs simulator as device for PennyLane.
- Provides
qulacs.simulatordevice to be used with PennyLane. - Combine Qulacs high performance simulator with PennyLane's automatic differentiation and optimization.
Installing the latest master version can be done directly using pip:
pip install git+https://github.com/soudy/pennylane-qulacs@master
or by cloning this repo:
git clone https://github.com/soudy/pennylane-qulacs
cd pennylane-qulacs
pip install .
We ran a 100 executions of 4 layer quantum neural network strongly entangling layer and compared the runtimes between CPU and GPU.
