scholarly journals Architecture for a large-scale ion-trap quantum computer

Nature ◽  
2002 ◽  
Vol 417 (6890) ◽  
pp. 709-711 ◽  
Author(s):  
D. Kielpinski ◽  
C. Monroe ◽  
D. J. Wineland
Keyword(s):  
Large Scale ◽  
Ion Trap ◽  
Quantum Computer

scholarly journals Characterizing large-scale quantum computers via cycle benchmarking

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Alexander Erhard ◽  
Joel J. Wallman ◽  
Lukas Postler ◽  
Michael Meth ◽  
Roman Stricker ◽  
...  
Keyword(s):  
Large Scale ◽  
Ion Trap ◽  
Quantum Computer ◽  
System Size ◽  
Quantum Computers ◽  
Large Set ◽  
Correlated Noise ◽  
Noise Sources ◽  
Total Process ◽  
Qubit Gate

AbstractQuantum computers promise to solve certain problems more efficiently than their digital counterparts. A major challenge towards practically useful quantum computing is characterizing and reducing the various errors that accumulate during an algorithm running on large-scale processors. Current characterization techniques are unable to adequately account for the exponentially large set of potential errors, including cross-talk and other correlated noise sources. Here we develop cycle benchmarking, a rigorous and practically scalable protocol for characterizing local and global errors across multi-qubit quantum processors. We experimentally demonstrate its practicality by quantifying such errors in non-entangling and entangling operations on an ion-trap quantum computer with up to 10 qubits, and total process fidelities for multi-qubit entangling gates ranging from $$99.6(1)\%$$99.6(1)% for 2 qubits to $$86(2)\%$$86(2)% for 10 qubits. Furthermore, cycle benchmarking data validates that the error rate per single-qubit gate and per two-qubit coupling does not increase with increasing system size.

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

scholarly journals Comparison of ancilla preparation and measurement procedures for the Steane [[7,1,3]] code on a model ion-trap quantum computer

2013 ◽  
Vol 88 (4) ◽  
Author(s):  
Yu Tomita ◽  
Mauricio Gutiérrez ◽  
Chingiz Kabytayev ◽  
Kenneth R. Brown ◽  
M. R. Hutsel ◽  
...  
Keyword(s):  
Ion Trap ◽  
Quantum Computer

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.

scholarly journals Properties of phonon modes of an ion-trap quantum computer in the Aubry phase

2020 ◽  
Vol 101 (3) ◽  
Author(s):  
Justin Loye ◽  
José Lages ◽  
Dima L. Shepelyansky
Keyword(s):  
Ion Trap ◽  
Quantum Computer ◽  
Phonon Modes

scholarly journals Long-range coupling and scalable architecture for superconducting flux qubits

2008 ◽  
Vol 86 (4) ◽  
pp. 533-540
Author(s):  
A G Fowler ◽  
W F Thompson ◽  
Z Yan ◽  
A M Stephens ◽  
B L.T. Plourde ◽  
...  
Keyword(s):  
Long Range ◽  
Large Scale ◽  
Quantum Computer ◽  
Fault Tolerant ◽  
Maximum Error ◽  
Error Rates ◽  
Coupling Mechanism ◽  
Scalable Architectures ◽  
Daunting Task ◽  
Flux Qubits

Constructing a fault-tolerant quantum computer is a daunting task. Given any design, it is possible to determine the maximum error rate of each type of component that can be tolerated while still permitting arbitrarily large-scale quantum computation. It is an under-appreciated fact that including an appropriately designed mechanism enabling long-range qubit coupling or transport substantially increases the maximum tolerable error rates of all components. With this thought in mind, we take the superconducting flux qubit coupling mechanism described in Plourde et al. (Phys. Rev. B, 70, 140501(R) (2004)) and extend it to allow approximately 500~MHz coupling of square flux qubits, 50 µm a side, at a distance of up to several mm. This mechanism is then used as the basis of two scalable architectures for flux qubits taking into account crosstalk and fault-tolerant considerations such as permitting a universal set of logical gates, parallelism, measurement and initialization, and data mobility.PACS No.: 03.67.Lx

Implementation of the Deutsch-Josza algorithm on an ion trap quantum computer

2003 ◽  
Author(s):  
G.P.T. Lancaster ◽  
S. Gulde ◽  
M. Riebe ◽  
C. Becher ◽  
H. Haffner ◽  
...  
Keyword(s):  
Ion Trap ◽  
Quantum Computer

scholarly journals GEOMETRIC PHASES AND TOPOLOGICAL QUANTUM COMPUTATION

2003 ◽  
Vol 01 (01) ◽  
pp. 1-23 ◽  
Author(s):  
VLATKO VEDRAL
Keyword(s):  
Quantum Computation ◽  
Large Scale ◽  
Quantum Computer ◽  
Fault Tolerant ◽  
Geometric Phases ◽  
Quantum Phases ◽  
Topological Quantum ◽  
Universal Quantum ◽  
The Subject ◽  
Topological Quantum Computation

In the first part of this review we introduce the basics theory behind geometric phases and emphasize their importance in quantum theory. The subject is presented in a general way so as to illustrate its wide applicability, but we also introduce a number of examples that will help the reader understand the basic issues involved. In the second part we show how to perform a universal quantum computation using only geometric effects appearing in quantum phases. It is then finally discussed how this geometric way of performing quantum gates can lead to a stable, large scale, intrinsically fault-tolerant quantum computer.

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