As quantum computers become available to the general public, the need has
arisen to train a cohort of quantum programmers, many of whom have been
developing classical computer programs for most of their careers. While
currently available quantum computers have less than 100 qubits, quantum
computing hardware is widely expected to grow in terms of qubit count, quality,
and connectivity. This review aims to explain the principles of quantum
programming, which are quite different from classical programming, with
straightforward algebra that makes understanding of the underlying fascinating
quantum mechanical principles optional. We give an introduction to quantum
computing algorithms and their implementation on real quantum hardware. We
survey 20 different quantum algorithms, attempting to describe each in a
succinct and self-contained fashion. We show how these algorithms can be
implemented on IBM's quantum computer, and in each case, we discuss the results
of the implementation with respect to differences between the simulator and the
actual hardware runs. This article introduces computer scientists, physicists,
and engineers to quantum algorithms and provides a blueprint for their
implementations.

这篇综述介绍了量子计算机的编程原理，包括量子算法和 IBM 量子计算机上的实现，为计算机科学家、物理学家和工程师提供了实现量子计算的蓝图。

初学者的量子算法实现

Quantum Algorithm Implementations for Beginners

We introduce Strawberry Fields, an open-source quantum programming
architecture for light-based quantum computers, and detail its key features.
Built in Python, Strawberry Fields is a full-stack library for design,
simulation, optimization, and quantum machine learning of continuous-variable
circuits. The platform consists of three main components: (i) an API for
quantum programming based on an easy-to-use language named Blackbird; (ii) a
suite of three virtual quantum computer backends, built in NumPy and
TensorFlow, each targeting specialized uses; and (iii) an engine which can
compile Blackbird programs on various backends, including the three built-in
simulators, and -- in the near future -- photonic quantum information
processors. The library also contains examples of several paradigmatic
algorithms, including teleportation, (Gaussian) boson sampling, instantaneous
quantum polynomial, Hamiltonian simulation, and variational quantum circuit
optimization.

介绍了 Strawberry Fields 开源量子编程体系结构，它使用 Python 语言，适用于设计，模拟，优化和量子计算机的连续变量电路。该平台包括三个主要组成部分：使用 Blackbird 编程的 API，三种虚拟量子计算机后端和一个可以在各种后端上编译 Blackbird 程序的引擎，同时包含几个典型算法的示例。