量子计算机的研究进展与发展趋向

介绍了量子计算机的发展及研究现状,简要分析了量子计算机的工作原理,并对其今后的研究重点及应用前景进行了展望。     

量子计算机的量子力学基础

文章从量子力学的基本原理出发论述了量子计算机的量子比特、量子寄存器和量子逻辑门的量子力学基础及量子计算机的优越性和存在的困难。     

未来的量子计算机

回顾了量子计算机的理论研究概况,介绍了量子计算机基本原理和量子电路的研制情况,并拽出量子计算机实现的条件以及目前存在的困难,最后是展望量子计算机的前景。     

量子计算机的核心与发展

分析、对比了经典计算机和量子机的异同，讨论了量子计算机的核心与发展趋势，指出经典计算机和量子计算机的结构结合将是计算机发展的最佳模式。     

量子计算原理及研究进展

 量子计算机是量子力学与计算问题相结合的产物,是近几年的研究热点,引起了广泛的社会关注。本文回顾量子计算机的发展,介绍了量子算法和量子计算模型,并以离子阱和超导线路为例阐述了量子计算机的物理实现,然后介绍了为了克服消相干而发展出的量子编码,以玻色取样为例讨论了量子霸权。展望未来,近期内可以展示量子霸权,进而实现解决特定问题的量子模拟器,但是普适的量子计算机的研制仍然需要很长的时间。     

量子计算机原理

本以与经典计算机对照的方法，介绍量子图灵机、量子位、量子寄存器、量子逻辑门、量子并行计算和量子编码，从量子计算机的物理和工作原理阐明量子计算机的优越性。     

量子计算机

对量子计算机的原理进行了较为系统的阐述。     

关于量子力学与量子计算机

从量子力学原理出发，说明量子力学的结果是现有计算机技术的天然障碍，论述了量子计算机的概念、基本原理，并简介了量子计算机的几种实验方案．     

量子计算机

对量子计算机的原理进行了较为系统的阐述     

量子力学与量子计算机

从量子力学原理出发,说明量子力学的结果是现有计算机技术的天然障碍——计算机芯片的集成度最大到原子、分子量级(10-10m);论述了量子计算机强大运算能力的原因——量子纠缠态之间的关联效应.介绍了量子计算机的几种可能方案.指出量子计算机的研究需要当今最前导的微观物理技术与计算机技术结合起来.     

量子纠错与经典纠错的比较

量子计算机利用其量子位态特有的相干叠加和纠缠性,使得在某些问题的处理上优于经典计算机,同时也导致量子计算过程中的出错图样不同于经典计算。讨论了二者的区别,在此基础上详细介绍了量子计算机中开发的量子纠错方案。     

Experimental one-way quantum computing

Standard quantum computation is based on sequences of unitary quantum logic gates that process qubits. The one-way quantum computer proposed by Raussendorf and Briegel is entirely different. It has changed our understanding of the requirements for quantum computation and more generally how we think about quantum physics. This new model requires qubits to be initialized in a highly entangled cluster state. From this point, the quantum computation proceeds by a sequence of single-qubit measurements with classical feedforward of their outcomes. Because of the essential role of measurement, a one-way quantum computer is irreversible. In the one-way quantum computer, the order and choices of measurements determine the algorithm computed. We have experimentally realized four-qubit cluster states encoded into the polarization state of four photons. We characterize the quantum state fully by implementing experimental four-qubit quantum state tomography. Using this cluster state, we demonstrate the feasibility of one-way quantum computing through a universal set of one- and two-qubit operations. Finally, our implementation of Grover's search algorithm demonstrates that one-way quantum computation is ideally suited for such tasks.     

An Efficient Framework to Utilize Grover Search

This paper proposes an efficient framework to utilize quantum search practically.To the best of our knowledge,this is the first paper to show a concrete usage of quantum search in general programming.In our framework,we can utilize a quantum computer as a coprocessor to speed-up some parts of a program that runs on a classical computer.To do so,we propose several new ideas and techniques,such as a practical method to design a large quantum circuits for search problems and an efficient quantum comparator.     

Deleting a marked state in quantum database in a duality computing mode

In this article, we present a deletion algorithm in the duality computer that deletes a marked state from an even superposition of all basis-states with certainty. This duality computer deletion algorithm requires a single query, and this achieves exponential speedup over classical algorithm. Using a duality mode and recycling quantum computing, we provide a realization of this duality computer deletion algorithm in quantum computer.     

基于IBM Q平台的量子图像算法研究

为使量子图像处理算法在量子计算机上得到验证与发展,结合IBM量子实验平台(IBM Q)上量子计算操作与量子图像处理理论的研究,设计了一种基于IBM Q平台的量子图像分割方法.提出了一种基于新型强化量子图像表达式(NEQR)的改进型强化量子图像表达式(IEQR),并根据IEQR表达式初始化量子图像分割电路.该电路由量子比较器(QBSC)和受控旋转门(Cswap)构成.最终在IBM Q和本地经典计算机仿真两种平台下实现了2×2和4×4大小的量子图像分割,实验结果表明了该算法的可行性和有效性,并验证了量子计算机的优越性.     

A scalable quantum computer with ions in an array of microtraps

Quantum computers require the storage of quantum information in a set of two-level systems (called qubits), the processing of this information using quantum gates and a means of final readout. So far, only a few systems have been identified as potentially viable quantum computer models--accurate quantum control of the coherent evolution is required in order to realize gate operations, while at the same time decoherence must be avoided. Examples include quantum optical systems (such as those utilizing trapped ions or neutral atoms, cavity quantum electrodynamics and nuclear magnetic resonance) and solid state systems (using nuclear spins, quantum dots and Josephson junctions). The most advanced candidates are the quantum optical and nuclear magnetic resonance systems, and we expect that they will allow quantum computing with about ten qubits within the next few years. This is still far from the numbers required for useful applications: for example, the factorization of a 200-digit number requires about 3,500 qubits, rising to 100,000 if error correction is implemented. Scalability of proposed quantum computer architectures to many qubits is thus of central importance. Here we propose a model for an ion trap quantum computer that combines scalability (a feature usually associated with solid state proposals) with the advantages of quantum optical systems (in particular, quantum control and long decoherence times).     

利用离子阱制备与测量量子态

介绍了利用离子阱制备与测量量子态,实现量子计算机系统的基本工作原理,讨论离子阱量子计算机的优缺点,及面临的挑战.     

Q2Chemistry: A quantum computation platform for quantum chemistry

Quantum computers provide new opportunities for quantum chemistry. In this article,we present a versatile, extensible, and efficient software package, named Q2Chemistry, for developing quantum algorithms and quantum inspired classical algorithms in the field of quantum chemistry. In Q2Chemistry, the wave function and Hamiltonian can be conveniently mapped into the qubit space, then quantum circuits can be generated corresponding to a specific quantum algorithm already implemented in the package or newly developed by the users. The generated circuits can be dispatched to either a physical quantum computer, if available, or to the internal virtual quantum computer realized by simulating quantum circuits on classical computers. As demonstrated by our benchmark simulations, Q2Chemistry achieves excellent performance in simulating medium scale quantum circuits using the matrix product state algorithm. Applications of Q2Chemistry to simulate molecules and periodic systems are given with performance analysis.