Integrated multi-wavelength control of an ion qubit

Niffenegger, Robert; Stuart, Jules; Sorace-Agaskar, Cheryl; Kharas, Dave; Bramhavar, Suraj; Bruzewicz, Colin; Loh, William; Maxson, Ryan; McConnell, Robert; Reens, David; West, Gavin N.; Sage, Jeremy; Chiaverini, John

doi:10.1038/s41586-020-2811-x

Cited by 225 publications

(117 citation statements)

References 28 publications

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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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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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“…The implications of the difficulty in making a 2-QBit quantum gate are far reaching. They basically imply that, at present, there are only a handful of technologies that are widely considered as scalable platforms for quantum computing: superconductors (where the research and development is led by giant companies like IBM and Google, and is beyond the scope of this perspective article), ion traps [25][26][27] and the so-called "one-way photonic quantum computing" [28,29] based on silicon photonic circuitry currently led by companies like PsiQuantum (https:// psiqu antum. com) and Xanadu (https:// xanadu.…”

Section: Introductionmentioning

confidence: 99%

Highlighting photonics: looking into the next decade

Chen

Segev

2021

eLight

240

110

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Let there be light–to change the world we want to be! Over the past several decades, and ever since the birth of the first laser, mankind has witnessed the development of the science of light, as light-based technologies have revolutionarily changed our lives. Needless to say, photonics has now penetrated into many aspects of science and technology, turning into an important and dynamically changing field of increasing interdisciplinary interest. In this inaugural issue of eLight, we highlight a few emerging trends in photonics that we think are likely to have major impact at least in the upcoming decade, spanning from integrated quantum photonics and quantum computing, through topological/non-Hermitian photonics and topological insulator lasers, to AI-empowered nanophotonics and photonic machine learning. This Perspective is by no means an attempt to summarize all the latest advances in photonics, yet we wish our subjective vision could fuel inspiration and foster excitement in scientific research especially for young researchers who love the science of light.

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“…A tunable sideband, such as that generated by an acousto-optic modulator 48 , 49 (AOM), is locked to a silicon nitride waveguide optical reference cavity 50 , 51 to reduce the integral linewidth and provide the carrier stability needed to address the atomic optical clock transition. The stabilized 674 nm OLO can be coupled to a 88 Sr + ion in an electrostatic trap 33 , 52 using, for example, silicon nitride waveguide to free-space grating couplers 53 – 55 . Additional cooling and repump beams can be provided via lasers coupled to silicon nitride waveguides and free-space grating couplers 54 .…”

Section: Introductionmentioning

confidence: 99%

Visible light photonic integrated Brillouin laser

et al. 2021

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Narrow linewidth visible light lasers are critical for atomic, molecular and optical (AMO) physics including atomic clocks, quantum computing, atomic and molecular spectroscopy, and sensing. Stimulated Brillouin scattering (SBS) is a promising approach to realize highly coherent on-chip visible light laser emission. Here we report demonstration of a visible light photonic integrated Brillouin laser, with emission at 674 nm, a 14.7 mW optical threshold, corresponding to a threshold density of 4.92 mW μm−2, and a 269 Hz linewidth. Significant advances in visible light silicon nitride/silica all-waveguide resonators are achieved to overcome barriers to SBS in the visible, including 1 dB/meter waveguide losses, 55.4 million quality factor (Q), and measurement of the 25.110 GHz Stokes frequency shift and 290 MHz gain bandwidth. This advancement in integrated ultra-narrow linewidth visible wavelength SBS lasers opens the door to compact quantum and atomic systems and implementation of increasingly complex AMO based physics and experiments.

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Integrated multi-wavelength control of an ion qubit

Cited by 225 publications

References 28 publications

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

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

Highlighting photonics: looking into the next decade

Visible light photonic integrated Brillouin laser

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