Heating rates and ion-motion control in a<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi mathvariant="sans-serif">Y</mml:mi></mml:math>-junction surface-electrode trap

Shu, Gang; Vittorini, Grahame; Buikema, A.; Nichols, C.; Volin, Curtis; Stick, Daniel Lynn; Brown, Kenneth R.

doi:10.1103/physreva.89.062308

Cited by 53 publications

(61 citation statements)

References 44 publications

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“…34 Rudimentary versions of the QCCD idea have been employed in many quantum information applications such as teleportation and small quantum algorithms, 9 and recent experiments have shown the reliable, repeatable and coherent shuttling of ion qubits over millimetre distances in microsecond timescales 35,36 and through complex 2D junctions. [37][38][39][40] The QCCD approach will help usher the development of trapped ion quantum computers with perhaps 50-1,000 qubits. However, scaling to many thousands or more qubits in the QCCD may be challenging because of the complexity of interconnects, diffraction of optical beams and the extensive hardware required for qubit control.…”

Section: Ion Trap Qubits and Wiresmentioning

confidence: 99%

Co-designing a scalable quantum computer with trapped atomic ions

2016

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The first generation of quantum computers are on the horizon, fabricated from quantum hardware platforms that may soon be able to tackle certain tasks that cannot be performed or modelled with conventional computers. These quantum devices will not likely be universal or fully programmable, but special-purpose processors whose hardware will be tightly co-designed with particular target applications. Trapped atomic ions are a leading platform for first-generation quantum computers, but they are also fundamentally scalable to more powerful general purpose devices in future generations. This is because trapped ion qubits are atomic clock standards that can be made identical to a part in 10 15 , and their quantum circuit connectivity can be reconfigured through the use of external fields, without modifying the arrangement or architecture of the qubits themselves. In this forwardlooking overview, we show how a modular quantum computer with thousands or more qubits can be engineered from ion crystals, and how the linkage between ion trap qubits might be tailored to a variety of applications and quantum-computing protocols. Quantum information processors have the potential to perform computational tasks that are difficult or impossible using conventional modes of computing. 1-3 In a radical departure from classical information, the qubits of a quantum computer can simultaneously store bit values 0 and 1, and when measured they probabilistically assume definite states. Many interacting qubits, isolated from their environment, can represent huge amounts of information: there are exponentially many binary numbers that can co-exist, with entangled qubit correlations that can behave as invisible wires between the qubits. Even in the face of Moore's Law, or the doubling in conventional computer power every year or two, the complexity of massively entangled quantum states of just a few hundred qubits can easily eclipse the capacity of classical information processing. 4 There are but a few known applications that exploit this quantum advantage, such as Shor's factoring algorithm, 5 and future quantum information processors will likely be applied to special-purpose applications. On the other hand, a quantum computer has not yet been built; therefore, new quantum applications and algorithms will likely follow from the evolution and capability of quantum hardware.In the 20 years since the advent of Shor's algorithm 5 and the discovery of quantum error correction, 6-8 there has been remarkable progress in demonstrations of entangling quantum gates on o10 qubits in certain physical systems. Current efforts aim to scale to hundreds, thousands or even millions of interacting qubits. Unlike the classical scaling of bits and logic gates, however, large quantum systems are not comparable to the behaviour of just a few qubits. Just because 2 or 4 qubits can be completely controlled with negligible errors does not mean that this system can readily scale to 4100 qubits.In the last few years, two particular quantum hardware platforms have e...

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Section: Ion Trap Qubits and Wiresmentioning

confidence: 99%

Co-designing a scalable quantum computer with trapped atomic ions

2016

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“…We have begun investigating both the fraction and ordering of laser-cooled ions necessary to maintain this condition. The ordering of the species in our trap is currently random, but could be controlled in the future through the use of a microfabricated surface trap with many DC control electrodes [11,12]. In chains with a large number of ions, it is difficult and time consuming to measure the thermal occupation number of each mode through direct sideband measurements.…”

Section: Mixed Species Chainsmentioning

confidence: 99%

Toward a scalable quantum computing architecture with mixed species ion chains

Wright

Auchter

Chou

et al. 2016

Quantum Inf Process

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We report on progress toward implementing mixed ion species quantum information processing for a scalable ion-trap architecture. Mixed species chains may help solve several problems with scaling ion-trap quantum computation to large numbers of qubits. Initial temperature measurements of linear Coulomb crystals containing barium and ytterbium ions indicate that the mass difference does not significantly impede cooling at low ion numbers. Average motional occupation numbers are estimated to ben ≈ 130 quanta per mode for chains with small numbers of ions, which is within a factor of three of the Doppler limit for barium ions in our trap. We also discuss generation of ion-photon entanglement with barium ions with a fidelity of F ≥ 0.84, which is an initial step towards remote ion-ion coupling in a more scalable quantum information architecture. Further, we are working to implement these techniques in surface traps in order to exercise greater control over ion chain ordering and positioning.

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“…Figure 4(b) and 4(c) show a surface trap developed by the Sandia National Laboratory (SNL) group [58,59], which has a double metal layer on Si substrate [60][61][62]. The surface trap of the SNL group has been used by many research groups, including those at UC Berkley, Duke University, and Georgia Tech Research Institute through the "Ion Trap Foundry Program", to successfully demonstrate various quantum experiments [63][64][65]. We also developed a similar trap chip with optimized shapes, and successfully trapped a string of 174 …”

Section: Figurementioning

confidence: 99%

A review of silicon microfabricated ion traps for quantum information processing

Cho

Hong

Lee

et al. 2015

Micro and Nano Syst Lett

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Quantum information processing (QIP) has become a hot research topic as evidenced by S. Haroche and D. J. Wineland receiving the Nobel Prize in Physics in 2012. Various MEMS-based microfabrication methods will be a key enabling technology in implementing novel and scalable ion traps for QIP. This paper provides a brief introduction of ion trap devices, and reviews ion traps made using conventional precision machining as well as MEMS-based microfabrication. Then, microfabrication methods for ion traps are explained in detail. Finally, current research issues in microfabricated ion traps are presented. The QIP renders significant new challenges for MEMS, as various QIP technologies are being developed for secure encrypted communication and complex computing applications.

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Heating rates and ion-motion control in aY-junction surface-electrode trap

Cited by 53 publications

References 44 publications

Co-designing a scalable quantum computer with trapped atomic ions

Co-designing a scalable quantum computer with trapped atomic ions

Toward a scalable quantum computing architecture with mixed species ion chains

A review of silicon microfabricated ion traps for quantum information processing

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