pyqpanda-algorithm: Quantum Algorithm Toolkit for Cross-Platform Development

Cross-Platform Quantum Algorithm Development Toolkit,pyqpanda-algorithm is a quantum algorithm toolkit by Origin Quantum, featuring commonly used basic algorithms and functions.

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pyqpanda-algorithm Quantum Algorithm Toolkit

Introduction

pyqpanda-algorithm is a quantum algorithm software package developed by Origin Quantum. It integrates fundamental algorithms and functions commonly used in quantum computing, providing developers with a standardized set of tools to write programs that can be easily ported across different quantum computing platforms. It serves as a critical resource for advancing software development and quantum computing research.

Key features include Grover's Search Algorithm, Mixed HHL Solver, VQE Solver, and more, offering developers a unified toolkit for creating portable applications. This package is an essential asset for promoting progress in software and quantum computing research.

pyqpanda_alg is an algorithm extension module based on PyQPanda. It contains many practical quantum application algorithms. An example is provided below.

from pyqpanda_alg.VQE.vqe import hardware_efficient_circuit
import numpy as np
import pyqpanda

nqubit = 2
init_para = np.zeros(4*nqubit)
qvm = pyqpanda.CPUQVM()
qvm.initQVM()
circuit = hardware_efficient_circuit(nqubit,init_para,qvm)
print(circuit)

Features

pyqpanda-algorithm feature 1

High Development Efficiency

It adopts modular and reusable code structure, and provides rich development resources such as examples and API documentation.

pyqpanda-algorithm feature 2

High Reliability and Stability

Through multiple rounds of testing and verification, it is guaranteed to adapt to different application scenarios and ever-changing needs.

pyqpanda-algorithm feature 3

High Performance

It can optimize algorithms for specific scenarios or tasks to improve the execution performance of quantum algorithms on quantum/classical devices.

Key Functions

Grover's Search Algorithm

This is a quantum algorithm that can be used to search an unsorted database of N items in O(√N) time. It is faster than classical algorithms, which require O(N) time to complete the same task. Developers can directly call the interface grover(arg1, arg2...) to support their user-defined algorithms.

Mixed HHL Solver

The mixed HHL solver is an optimization of the HHL algorithm, which is mainly applied to solve large-scale linear equations, such as computational fluid dynamics.By using the "Krylov subspace" method to reduce the dimensionality of the original linear space and solving it with the HHL algorithm, it has a more stable solving performance and faster convergence rate.

VQE Solver

VQE is a hybrid quantum-classical algorithm for computing the ground state energy of a Hamiltonian, which is one of the most promising algorithms applied in chemistry. Comparing to classical algorithms where computational costs grow exponentially to size of the system, the VQE algorithm increases polynomial in execution time of circuit and the number of measurement.

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