Design, fabrication and experimental demonstration of junction surface ion traps

Moehring, D. L.; Highstrete, Clark; Stick, Daniel Lynn; Fortier, Kevin; Haltli, Raymond A.; Tigges, C.P.; Blain, Matthew G.

doi:10.1088/1367-2630/13/7/075018

Cited by 92 publications

(111 citation statements)

References 31 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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“…Schemes to handle imperfect qubit yield or qubit loss have been studied in error-correcting codes [156,157], qubit device designs [158][159][160][161][162][163], and quantum networks [164][165][166]. Similarly, ion-trap proposals have studied how to effectively combine linear trapping regions with junctions to overcome the limitations of a strictly linear trap [4,9,[167][168][169][170]. In light of these methods, we expect that it is possible to arrange short linear segments of dots that meet in three-or four-way junctions, such as in Ref.…”

Section: Discussionmentioning

confidence: 99%

Logical Qubit in a Linear Array of Semiconductor Quantum Dots

et al. 2018

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We design a logical qubit consisting of a linear array of quantum dots, we analyze error correction for this linear architecture, and we propose a sequence of experiments to demonstrate components of the logical qubit on near-term devices. To avoid the difficulty of fully controlling a two-dimensional array of dots, we adapt spin control and error correction to a one-dimensional line of silicon quantum dots. Control speed and efficiency are maintained via a scheme in which electron spin states are controlled globally using broadband microwave pulses for magnetic resonance, while two-qubit gates are provided by local electrical control of the exchange interaction between neighboring dots. Error correction with two-, three-, and fourqubit codes is adapted to a linear chain of qubits with nearest-neighbor gates. We estimate an error correction threshold of 10 −4 . Furthermore, we describe a sequence of experiments to validate the methods on near-term devices starting from four coupled dots.

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“…There are a number of difficulties associated with realizing two-plane structures such as those described above as compared to the single planes which have already been fabricated [32]. One which has already been found to be challenging in multi-layer electrode traps is the relative alignment of the electrode planes.…”

Section: Fabrication Considerationsmentioning

confidence: 99%

Optimal electrode geometries for 2-dimensional ion arrays with bi-layer ion traps

Krauth¹,

Alonso²,

Home³

2014

J. Phys. B: At. Mol. Opt. Phys.

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Abstract. We investigate electrode geometries required to produce periodic 2-dimensional ion-trap arrays with the ions placed between two planes of electrodes. We present a generalization of previous methods for traps containing a single electrode plane to this new geometry, and show that for a given ion-electrode distance and applied voltages, the inter-ion distance can be reduced by a factor of up to 3 relative to single-plane traps. This represents an increase by a factor of 9 in the trap density and a factor of 27 in the exchange coupling between the oscillatory motion of neighboring ions. The resulting traps are also considerably deeper for bi-layer structures than for single-plane traps. These results could offer a useful path towards 2-dimensional ion arrays for quantum simulation. We also discuss issues with the fabrication of such traps.

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Design, fabrication and experimental demonstration of junction surface ion traps

Cited by 92 publications

References 31 publications

Co-designing a scalable quantum computer with trapped atomic ions

Co-designing a scalable quantum computer with trapped atomic ions

Logical Qubit in a Linear Array of Semiconductor Quantum Dots

Optimal electrode geometries for 2-dimensional ion arrays with bi-layer ion traps

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