Integrated optical multi-ion quantum logic

Mehta, Karan K.; Zhang, Chi; Malinowski, Maciej; Nguyen, Thanh Long; Stadler, M.; Home, Jonathan

doi:10.1038/s41586-020-2823-6

Cited by 247 publications

(132 citation statements)

References 41 publications

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“…Figure 1 shows MSA sites located away from conventionally studied regions that have been investigated in the past three decades. These excavations have revealed surprising evidence [8][9][10][11][12][13][14][15] , ranging from early ostrich eggshell beads and engraved shell containers, to bone and stone tools shaped like spear tips, or possibly even bows and arrows. But the full range of Eurasian Upper Palaeolithic technologies has never been found at a single African site.…”

Section: Pamela R Willoughbymentioning

confidence: 99%

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Heating freezes electrons in twisted bilayer graphene

Lian¹

2021

Nature

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Section: Pamela R Willoughbymentioning

confidence: 99%

“…Another highly promising approach is to use microwave technology that allows quantum gates to be implemented by applying voltages to the microchip 9 . Alternatively, the interaction of ions with the relevant laser beams could be facilitated using structures called waveguides in the microchip 10 .…”

mentioning

confidence: 99%

Heating freezes electrons in twisted bilayer graphene

Lian¹

2021

Nature

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“…Qubits are encoded in the electronic states of individual ions trapped by electric fields in an rf Paul trap. Two-dimensional traps can be micro-fabricated on silicon chips, called surface traps, and can contain multiple trapping and interaction zones as well as integrated microwave and laser access [46][47][48][49]. Interaction of the electronic states of neighboring ions is negligibly small [50], but ions are strongly coupled via their motion which can be exploited to create entanglement between different ions necessary for multi-qubit gates [51].…”

Section: Quantum Computing With Trapped Ionsmentioning

confidence: 99%

Quantum computing hardware in the cloud: Should a computational chemist care?

Rossi

Baity

Schäfer

et al. 2021

Int J of Quantum Chemistry

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Within the last decade much progress has been made in the experimental realization of quantum computing hardware based on a variety of physical systems. Rapid progress has been fuelled by the conviction that sufficiently powerful quantum machines will herald enormous computational advantages in many fields, including chemical research.A quantum computer capable of simulating the electronic structures of complex molecules would be a game changer for the design of new drugs and materials. Given the potential implications of this technology, there is a need within the chemistry community to keep abreast with the latest developments as well as becoming involved in experimentation with quantum prototypes. To facilitate this, here we review the types of quantum computing hardware that have been made available to the public through cloud services. We focus on three architectures, namely superconductors, trapped ions and semiconductors. For each one we summarize the basic physical operations, requirements and performance. We discuss to what extent each system has been used for molecular chemistry problems and highlight the most pressing hardware issues to be solved for a chemistry-relevant quantum advantage to eventually emerge. | INTRODUCTIONThis year marks exactly 40 years since Richard Feynman famously said [1]: "Nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical, and by golly it's a wonderful problem, because it doesn't look so easy." On the one hand, the visionary physicist anticipated the possibility (and the inherent difficulty) of building a new type of computing apparatus operating according to the laws of quantum mechanics. On the other hand, he had immediately identified one of its most useful areas of application, i.e. simulations of chemical and physical systems.Computational chemists will indeed benefit from future quantum computers for calculations of molecular energies to within chemical accuracy, defined to be the target accuracy necessary to estimate chemical reaction rates at room temperature (≈1 kcal/mol) [2]. Fully-fledged, errorfree quantum systems will enable predictions and simulations that are not possible today in terms of both accuracy and speed. This could have a revolutionary impact on the design of drugs, catalysts and materials by allowing computational methods to replace lengthy and expensive experimental procedures. Unfortunately, we are still in the infancy of the development of quantum computing technology and a machine that provides a quantum advantage in molecular chemistry over classical super-computers has not emerged yet. However, the progress in handling increasingly complex molecular and material chemistry has been relentless. Small-scale quantum machines developed by academic or corporate research centres have been initially used to simulate simple diatomic or triatomic molecules made up of just H and He atoms [3][4][5]. Recently, more powerful quantum computers have been used to simulate larger compounds conta...

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“…This demonstration was combined with packaging methods which allow for a direct optical fibre attach to the waveguides. Using these methods, a single-qubit gate with a 88 Sr + ion was performed with 99% fidelity [147] and, more recently, two-qubit gates with 40 Ca + were demonstrated [149]. Another approach for the scalable laser addressing is adjusting beam paths with electrically controlled devices.…”

Section: Optical Componentsmentioning

confidence: 99%