Linke Norbert M, Maslov Dmitri, Roetteler Martin, Debnath Shantanu, Figgatt Caroline, Landsman Kevin A, Wright Kenneth, Monroe Christopher
Joint Quantum Institute, Department of Physics, University of Maryland, College Park, MD 20742;
Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, MD 20742.
Proc Natl Acad Sci U S A. 2017 Mar 28;114(13):3305-3310. doi: 10.1073/pnas.1618020114. Epub 2017 Mar 21.
We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based on different technology platforms. One is a publicly accessible superconducting transmon device (www.
ibm.com/ibm-q) with limited connectivity, and the other is a fully connected trapped-ion system. Even though the two systems have different native quantum interactions, both can be programed in a way that is blind to the underlying hardware, thus allowing a comparison of identical quantum algorithms between different physical systems. We show that quantum algorithms and circuits that use more connectivity clearly benefit from a better-connected system of qubits. Although the quantum systems here are not yet large enough to eclipse classical computers, this experiment exposes critical factors of scaling quantum computers, such as qubit connectivity and gate expressivity. In addition, the results suggest that codesigning particular quantum applications with the hardware itself will be paramount in successfully using quantum computers in the future.
我们在两台基于不同技术平台的最先进的5量子比特量子计算机上运行了一系列算法。一台是具有有限连接性的可公开访问的超导transmon设备(www.ibm.com/ibm-q),另一台是全连接的囚禁离子系统。尽管这两个系统具有不同的原生量子相互作用,但两者都可以以一种对底层硬件不敏感的方式进行编程,从而能够在不同物理系统之间比较相同的量子算法。我们表明,使用更多连接性的量子算法和电路显然受益于连接性更好的量子比特系统。尽管这里的量子系统还不够大,无法超越经典计算机,但这个实验揭示了扩展量子计算机的关键因素,如量子比特连接性和门表现力。此外,结果表明,未来成功使用量子计算机时,将特定量子应用与硬件本身进行协同设计至关重要。