Quantum computing sits at an important inflection point. For years, high-level algorithms for quantum computers have shown considerable promise, and recent advances in quantum device fabrication offer hope of utility. A gap still exists, however, between the hardware size and reliability requirements of quantum computing algorithms and the physical machines foreseen within the next ten years. To bridge this gap, quantum computers require appropriate software to translate and optimize applications (toolflows) and abstraction layers. Given the stringent resource constraints in quantum computing, information passed between layers of software and implementations will differ markedly from in classical computing. Quantum toolflows must expose more physical details between layers, so the challenge is to find abstractions that expose key details while hiding enough complexity.

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现实量子硬件的编程语言和编译器设计

量子计算正处于一个重要的拐点。多年来，量子计算机的高级算法已经显示出相当大的前景，量子设备制造的最新进展提供了实用的希望。然而，量子计算算法的硬件规模和可靠性要求与未来十年内预见的物理机器之间仍然存在差距。为了弥补这一差距，量子计算机需要适当的软件来转换和优化应用程序（工具流）和抽象层。鉴于量子计算中严格的资源限制，在软件和实现层之间传递的信息将与经典计算显着不同。量子工具流必须暴露更多层之间的物理细节，