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Advances in Molecular Quantum Computing: from Technological Modeling to Circuit Design

机译:分子量子计算的进展:从技术建模到电路设计

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Molecules are serious candidates for building hardware for quantum computers. They can encode quantum information onto electron or nuclear spins and some of them show important features as the scalability of the number of qubits and a universal set of quantum gates. In this paper we present our advances in the development of a classical simulation infrastructure for molecular Quantum Computing: starting from the definition of simplified models taking into account the main physical features of each analyzed molecule, quantum gates are defined over these models, thus permitting to take into account the real behavior of each technology during the simulation. An interface with a hardware-agnostic description language has been also developed. The knowledge of the behavior of real systems permits to optimize the design of quantum circuits at both physical and compilation levels. Elementary quantum algorithms have been simulated on three different molecular technologies by changing the physical parameters of polarization and manipulation and quantum circuit design strategies. Results confirm the dependency of the fidelity of the results on both levels, thus proving that the choice of optimal operating points and circuit optimization techniques as virtual-Z gates are fundamental for ensuring the execution of quantum circuits with negligible errors.
机译:分子是构建量子计算机硬件的理想人选。它们可以将量子信息编码到电子或核自旋上,其中一些具有重要的特征,如量子位数量的可扩展性和量子门的通用集。在本文中,我们介绍了分子量子计算经典模拟基础结构开发的进展:从简化模型的定义开始,考虑到每个被分析分子的主要物理特征,在这些模型上定义了量子门,从而可以在仿真过程中要考虑到每种技术的实际行为。还开发了与硬件无关的描述语言的接口。实际系统行为的知识可以在物理和编译级别优化量子电路的设计。通过改变极化和操纵的物理参数以及量子电路设计策略,已经在三种不同的分子技术上对基本量子算法进行了仿真。结果证实了结果保真度在两个级别上的依赖性,从而证明了选择最佳工作点和电路优化技术作为虚拟Z门是确保执行具有可忽略不计误差的量子电路的基础。

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