Integrated Optics Technology for Ion Trap Based Large-scale Quantum Information Processor

2006 ◽  
Author(s):  
Jungsang Kim ◽  
Changsoon Kim ◽  
Caleb W. Knoernschild ◽  
Bin Liu ◽  
Kyle S. McKay
Keyword(s):  
Quantum Information ◽  
Integrated Optics ◽  
Large Scale ◽  
Ion Trap

System design for large-scale ion trap quantum information processor

2005 ◽  
Vol 5 (7) ◽  
pp. 515-537
Author(s):  
J. Kim ◽  
S. Pau ◽  
Z. Ma ◽  
H.R. McLellan ◽  
J.V. Gates ◽  
...  
Keyword(s):  
Quantum Information ◽  
System Design ◽  
Large Scale ◽  
Ion Trap ◽  
System Engineering ◽  
Multiple Data ◽  
Design Tradeoffs ◽  
Available Technology

We present a detailed system design and available technology choices for building a large scale ($>$ 100 qubits) ion trap quantum information processor (QIP). The system design is based on technologies that are within reach today, and utilizes single-instruction-on-multiple-data (SIMD) principles to re-use resources that cannot be duplicated easily. The system engineering principles adopted highlight various design tradeoffs in the QIP design and serve as a guideline to find design spaces for a much larger QIP.

Surface-electrode architecture for ion-trap quantum information processing

2005 ◽  
Vol 5 (6) ◽  
pp. 419-439
Author(s):  
J. Chiaverini ◽  
R.B. Blakestad ◽  
J. Britton ◽  
J.D. Jost ◽  
C. Langer ◽  
...  
Keyword(s):  
Quantum Information ◽  
Large Scale ◽  
Quantum Information Processing ◽  
Ion Trap ◽  
Ion Traps ◽  
Trapped Ions ◽  
Electrode Geometry ◽  
Surface Electrode ◽  
Single Plane ◽  
Lateral Extent

We investigate a surface-mounted electrode geometry for miniature linear radio frequency Paul ion traps. The electrodes reside in a single plane on a substrate, and the pseudopotential minimum of the trap is located above the substrate at a distance on the order of the electrodes' lateral extent or separation. This architecture provides the possibility to apply standard microfabrication principles to the construction of multiplexed ion traps, which may be of particular importance in light of recent proposals for large-scale quantum computation based on individual trapped ions.

Soft-X-ray spectra of highly charged Au ions in an electron-beam ion trap

2001 ◽  
Vol 79 (2-3) ◽  
pp. 153-162 ◽  
Author(s):  
E Träbert ◽  
P Beiersdorfer ◽  
K B Fournier ◽  
S B Utter ◽  
K L Wong
Keyword(s):  
Electron Beam ◽  
Beam Energy ◽  
Large Scale ◽  
Ion Trap ◽  
Electron Beam Energy ◽  
X Ray ◽  
Maximum Charge ◽  
Electron Beam Ion Trap ◽  
Atomic Structure Calculations ◽  
Structure Calculations

Systematic variation of the electron-beam energy in an electron-beam ion trap has been employed to produce soft-X-ray spectra (20 to 60 Å) of Au with well-defined maximum charge states ranging from Br- to Co-like ions. Guided by large-scale relativistic atomic structure calculations, the strongest Δn = 0 (n = 4 to n' = 4) transitions in Rb- to Cu-like ions (Au42+ – Au50+) have been identified. PACS Nos.: 32.30Rj, 39.30+w, 31.50+w, 32.20R

The Dawn of Quantum Information

2020 ◽  
pp. 258-270
Author(s):  
Gershon Kurizki ◽  
Goren Gordon
Keyword(s):  
Quantum Information ◽  
Large Scale ◽  
Quantum Computer ◽  
Quantum Algorithm ◽  
Single Step ◽  
Weather Forecasts ◽  
State Of Mind ◽  
Process Simulations ◽  
Superposition States ◽  
Quantum Revolution

Henry and Eve have finally tested their quantum computer (QC) with resounding success! It may enable much faster and better modelling of complex pharmaceutical designs, long-term weather forecasts or brain process simulations than classical computers. A 1,000-qubit QC can process in a single step 21000 possible superposition states: its speedup is exponential in the number of qubits. Yet this wondrous promise requires overcoming the enormous hurdle of decoherence, which is why progress towards a large-scale QC has been painstakingly slow. To their dismay, their QC is “expropriated for the quantum revolution” in order to share quantum information among all mankind and thus impose a collective entangled state of mind. They set out to foil this totalitarian plan and restore individuality by decohering the quantum information channel. The appendix to this chapter provide a flavor of QC capabilities through a quantum algorithm that can solve problems exponentially faster than classical computers.

scholarly journals Quantum gate teleportation between separated qubits in a trapped-ion processor

Science ◽  
2019 ◽  
Vol 364 (6443) ◽  
pp. 875-878 ◽  
Author(s):  
Yong Wan ◽  
Daniel Kienzler ◽  
Stephen D. Erickson ◽  
Karl H. Mayer ◽  
Ting Rei Tan ◽  
...  
Keyword(s):  
Confidence Level ◽  
Large Scale ◽  
Ion Trap ◽  
Quantum Gate ◽  
Quantum Computers ◽  
Mixed Species ◽  
Cnot Gate ◽  
Classical Communication ◽  
Trapped Ion ◽  
Single Qubit

Large-scale quantum computers will require quantum gate operations between widely separated qubits. A method for implementing such operations, known as quantum gate teleportation (QGT), requires only local operations, classical communication, and shared entanglement. We demonstrate QGT in a scalable architecture by deterministically teleporting a controlled-NOT (CNOT) gate between two qubits in spatially separated locations in an ion trap. The entanglement fidelity of our teleported CNOT is in the interval (0.845, 0.872) at the 95% confidence level. The implementation combines ion shuttling with individually addressed single-qubit rotations and detections, same- and mixed-species two-qubit gates, and real-time conditional operations, thereby demonstrating essential tools for scaling trapped-ion quantum computers combined in a single device.

Integrated optics architecture for trapped-ion quantum information processing

2015 ◽  
Vol 15 (12) ◽  
pp. 5315-5338 ◽  
Author(s):  
D. Kielpinski ◽  
C. Volin ◽  
E. W. Streed ◽  
F. Lenzini ◽  
M. Lobino
Keyword(s):  
Information Processing ◽  
Quantum Information ◽  
Integrated Optics ◽  
Quantum Information Processing ◽  
Trapped Ion

Towards Rapid Redesign: Decomposition Patterns for Large-Scale and Complex Redesign Problems

2005 ◽  
Author(s):  
Li Chen ◽  
Simon Li ◽  
Ashish Macwan
Keyword(s):  
Quantum Information ◽  
Large Scale ◽  
Pattern Analysis ◽  
Intrinsic Properties ◽  
Simple Manner ◽  
Pattern Synthesis ◽  
Solution Approach ◽  
Problem Types ◽  
Pattern Quantification

In an effort to develop a decomposition-based rapid redesign methodology, this paper introduces the basis of such a methodology on decomposition patterns for a general redesign problem that is computation-intensive and simulation-complex. In particular, through pattern representation and quantification, this paper elaborates the role and utility of the decomposition patterns in decomposition-based rapid redesign. In pattern representation, it shows how a decomposition pattern can be used to capture and portray the intrinsic properties of a redesign problem. Thus, through pattern synthesis, the collection of proper decomposition patterns allows one to effectively represent in a concise form the complete body of redesign knowledge covering all redesign problem types. In pattern quantification, it shows how a decomposition pattern can be used to extract and convey the quantum information of a redesign problem using the pattern characteristics. Thus, through pattern analysis, the formulation of an index incorporating two redesign metrics allows one to efficiently predict in a simple manner the amount of potential redesign effort for a given redesign problem. This work represents a breakthrough in extending the decomposition-based solution approach to computational redesign problems.

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