Two-dimensional linear trap array for quantum information processing

• URL: http://arxiv.org/abs/2003.08085v2
• Date: Mon, 21 Sep 2020 13:11:02 GMT
• Title: Two-dimensional linear trap array for quantum information processing
• Authors: Philip C. Holz, Silke Auchter, Gerald Stocker, Marco Valentini, Kirill Lakhmanskiy, Clemens R\"ossler, Paul Stampfer, Sokratis Sgouridis, Elmar Aschauer, Yves Colombe, and Rainer Blatt
• Abstract summary: We present an ion-lattice quantum processor based on a two-dimensional arrangement of linear surface traps. Our design features a tunable coupling between ions in adjacent lattice sites and a ion-lattice connectivity. We report on the fabrication of a prototype device in an industrial facility.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present an ion-lattice quantum processor based on a two-dimensional arrangement of linear surface traps. Our design features a tunable coupling between ions in adjacent lattice sites and a configurable ion-lattice connectivity, allowing one, e.g., to realize rectangular and triangular lattices with the same trap chip. We present detailed trap simulations of a simplest-instance ion array with $2\times9$ trapping sites and report on the fabrication of a prototype device in an industrial facility. The design and the employed fabrication processes are scalable to larger array sizes. We demonstrate trapping of ions in rectangular and triangular lattices and demonstrate transport of a $2\times2$ ion-lattice over one lattice period.

Related papers

• Optimized surface ion trap design for tight confinement and separation of ion chains [0.0]
  Qubit systems based on trapped ultracold ions win one of the leading positions in the quantum computing field. Surface Paul traps for ion confinement open the opportunity to scale quantum processors to hundreds of qubits.
  arXiv  Detail & Related papers  (2024-07-19T10:45:56Z)
• Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation [54.09274684734721]
  We present a new approach for 3D shape generation, inversion, and manipulation, through a direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose a compact wavelet representation with a pair of coarse and detail coefficient volumes to implicitly represent 3D shapes via truncated signed distance functions and multi-scale biorthogonal wavelets. We may jointly train an encoder network to learn a latent space for inverting shapes, allowing us to enable a rich variety of whole-shape and region-aware shape manipulations.
  arXiv  Detail & Related papers  (2023-02-01T02:47:53Z)
• Geometries and fabrication methods for 3D printing ion traps [0.0]
  Surface-electrode traps greatly simplify fabrication and hold the promise of allowing trapped-ion quantum computers to scale. However, their geometry constrains them to having much lower trapping efficiency, depth, and harmonicity compared to 3D geometries. We describe new 'trench' geometries that exist in the design space between these two paradigms.
  arXiv  Detail & Related papers  (2022-05-31T15:42:32Z)
• Optimization and implementation of a surface-electrode ion trap junction [6.285167805465505]
  We describe the design of a surface-electrode ion trap junction, which is a key element for large-scale ion trap arrays. A bi-objective optimization method is used for designing the electrodes, which maintains the total pseudo-potential curvature. integrated optical addressing contributes to modular trapped-ion quantum computing in interconnected 2-dimensional arrays.
  arXiv  Detail & Related papers  (2022-01-29T12:47:39Z)
• Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
  We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems. By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
  arXiv  Detail & Related papers  (2021-08-03T17:49:09Z)
• Design, fabrication and characterisation of a micro-fabricated double-junction segmented ion trap [0.0]
  We describe the implementation of a three-dimensional Paul ion trap fabricated from a stack of precision-machined silica glass wafers. The trap has 142 dedicated electrodes which can be used to define multiple potential wells in which strings of ions can be held. We give results of initial testing of the trap, including measurements of heating rates and junction transport.
  arXiv  Detail & Related papers  (2021-03-10T10:25:21Z)
• Quantum anomalous Hall phase in synthetic bilayers via twistless twistronics [58.720142291102135]
  We propose quantum simulators of "twistronic-like" physics based on ultracold atoms and syntheticdimensions. We show that our system exhibits topologicalband structures under appropriate conditions.
  arXiv  Detail & Related papers  (2020-08-06T19:58:05Z)
• Engineering multipartite entangled states in doubly pumped parametric down-conversion processes [68.8204255655161]
  We investigate the quantum state generated by optical parametric down-conversion in a $chi(2) $ medium driven by two modes. The analysis shows the emergence of multipartite, namely 3- or 4-partite, entangled states in a subset of the modes generated by the process.
  arXiv  Detail & Related papers  (2020-07-23T13:53:12Z)
• Scalable quantum computation with fast gates in two-dimensional microtrap arrays of trapped ions [68.8204255655161]
  We investigate the use of fast pulsed two-qubit gates for trapped ion quantum computing in a two-dimensional microtrap architecture. We demonstrate that fast pulsed gates are capable of implementing high-fidelity entangling operations between ions in neighbouring traps faster than the trapping period.
  arXiv  Detail & Related papers  (2020-05-01T13:18:22Z)
• SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates [61.04823927283092]
  We propose to represent 3D shapes using 2D functions, where the output of the function at each 2D location is a sequence of line segments inside the shape. We implement this approach using a Seq2Seq model with attention, called SeqXY2SeqZ, which learns the mapping from a sequence of 2D coordinates along two arbitrary axes to a sequence of 1D locations along the third axis. Our experiments show that SeqXY2SeqZ outperforms the state-ofthe-art methods under widely used benchmarks.
  arXiv  Detail & Related papers  (2020-03-12T00:24:36Z)
• Ion transport and reordering in a two-dimensional trap array [0.0]
  Scaling quantum information processors is a challenging task, requiring manipulation of a large number of qubits with high fidelity and a high degree of connectivity. For trapped ions, this could be realized in a two-dimensional array of interconnected traps in which ions are separated, transported and recombined to carry out quantum operations on small subsets of ions.
  arXiv  Detail & Related papers  (2020-03-07T06:04:21Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.