QPanda-lite

QPanda: Quantum Programming Architecture for NISQ Device Application

QPanda-lite should be a simple, easy, and transparent python-native version for QPanda.

Status

Developing. Unstable.

Design principles

• A clear, and tranparent way to assemble/execute a quantum program
• Support sync/async modes for execution on a quantum hardware
• Clear error hints
• Full, and better documentations
• Visualization of the quantum program
• Be able to migrate to different quantum backends

Install

OS

• Windows
• Linux (not fully tested)
• MacOS (not fully tested)

Requirements

• Python >= 3.7

Optional for quafu execution

manually install via pip :

• pyquafu (pip install pyquafu)

Optional for qiskit execution

manually install via pip :

• qiskit (pip install qiskit) and
• qiskit-ibm-provider (pip install qiskit-ibm-provider) and
• qiskit-ibmq-provider (pip install qiskit-ibmq-provider)

Optional for C++ simulator

• CMake >= 3.1
• C++ compiler (with C++ 14 support), including MSVC, gcc, clang, etc...

Build from source

A minimum version

# Clone the code
git clone https://github.com/Agony5757/QPanda-lite.git
cd QPanda-lite

# install
python setup.py install --no-cpp

For development

git clone https://github.com/Agony5757/QPanda-lite.git
cd QPanda-lite

# install
python setup.py develop

With C++ enabled (quantum circuit simulator written in C++)

git clone https://github.com/Agony5757/QPanda-lite.git
cd QPanda-lite

# install
python setup.py install

Build the docs

Will be released in the future.

pip

For python 3.8 to 3.10

pip install qpandalite

Examples

There are several ways to use QPanda-lite now.

• Circuit building (not supported now)
• Circuit simulation (not supported now)
• Run circuit on several backends

Circuit run on OriginQ Device

Step 1. Create online config

Refer to qcloud_config_template/originq_template.py

• Input the necessary information (token, urls, group_size) to call create_originq_online_config
• You will have the originq_online_config.json in your current working directory (cwd).
• Now you can submit task to the online chip!

Step 1.1 (Optional). Use originq_dummy

Dummy server is used to emulate the behavior of an online-avaiable quantum computing server, without really accessing the system but with your local computer to simulate the quantum circuit.

• Input the necessary information (available_qubits and available_topology) to call create_originq_dummy_config.

• If you want both mode, use create_originq_config and inputting all needed information.

Step 2. Create the circuits and run

Refer to test/demo

Circuit run on Quafu Device

Step 1. Create online config

Refer to qcloud_config_template/quafu_template.py

• Input the necessary information (token, urls, group_size) to call create_quafu_online_config
• You will have the quafu_online_config.json in your cwd.
• Now you can submit task to the online chip!

Step 2. Create the circuit and run

Todo.

Circuit build

Refer to test/demo

from qpandalite import Circuit

c = Circuit()
c.rx(1, 0.1)
print(c.circuit)

Circuit simulation

Refer to test/draft_test/originir_simulator_test.py

import qpandalite.simulator as qsim

sim = qsim.OriginIR_Simulator(reverse_key=False)

originir = '''
QINIT 72
CREG 2
RY q[45],(0.9424777960769379)
RY q[46],(0.9424777960769379)
CZ q[45],q[46]
RY q[45],(-0.25521154)
RY q[46],(0.26327053)
X q[46]
MEASURE q[45],c[0]
MEASURE q[46],c[2]
MEASURE q[52],c[1]
'''

res = sim.simulate(originir)
print(res)
print(sim.state)

# Expect output: 
# [0.23218757036469517, 0.04592184582945769, 0.0, 0.0, 0.6122094271102275, 0.10968115669561962, 0.0, 0.0]
# [(0.4818584546987789+0j), (-0.21429383059121812+0j), (0.7824381298928546+0j), (0.33118145584500897+0j), 0j, 0j, 0j, 0j]

Note: Have ImportError? ImportError:qpandalite is not install with QPandaLiteCpp.

You should install with QPandaLiteCpp before importing qpandalite.simulator

Documentation

Readthedocs: https://qpanda-lite.readthedocs.io/