Norbert Linke

ORCID: 0000-0001-5655-9258
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About
Contact & Profiles
Research Areas
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Quantum and electron transport phenomena
  • Quantum Mechanics and Applications
  • Cold Atom Physics and Bose-Einstein Condensates
  • Quantum optics and atomic interactions
  • Quantum many-body systems
  • Neural Networks and Reservoir Computing
  • Linguistic research and analysis
  • Quantum-Dot Cellular Automata
  • Laser-Matter Interactions and Applications
  • Silicon and Solar Cell Technologies
  • Thin-Film Transistor Technologies
  • Advanced Thermodynamics and Statistical Mechanics
  • Silicon Nanostructures and Photoluminescence
  • Arts, Culture, and Music Studies
  • Spectroscopy and Quantum Chemical Studies
  • German Literature and Culture Studies
  • Media Studies and Communication
  • European history and politics
  • Mechanical and Optical Resonators
  • Diamond and Carbon-based Materials Research
  • Musicology and Musical Analysis
  • Sociology and Education Studies
  • Education Methods and Technologies

University of Maryland, College Park
2016-2025

Joint Quantum Institute
2016-2025

Duke University
2022-2025

University of Iowa
2022

North Carolina State University
2022

Joint Center for Quantum Information and Computer Science
2017-2021

National Institute of Standards and Technology
2017-2021

University of Oxford
2009-2017

Universität Ulm
2009

Hamburg University of Technology
2002-2006

We demonstrate laser-driven two-qubit and single-qubit logic gates with respective fidelities 99.9(1)% 99.9934(3)%, significantly above the ≈99% minimum threshold level required for fault-tolerant quantum computation, using qubits stored in hyperfine ground states of calcium-43 ions held a room-temperature trap. study speed-fidelity trade-off gate, gate times between 3.8 μs 520 μs, develop theoretical error model which is consistent data allows us to identify principal technical sources infidelity.

10.1103/physrevlett.117.060504 article EN publisher-specific-oa Physical Review Letters 2016-08-04

Laser-cooled and trapped atomic ions form an ideal standard for the simulation of interacting quantum spin models. Effective spins are represented by appropriate internal energy levels within each ion, can be measured with near-perfect efficiency using state-dependent fluorescence techniques. By applying optical fields that exert dipole forces on ions, their Coulomb interaction modulated to produce long-range tunable spin-spin interactions reconfigured shaping spectrum pattern laser fields,...

10.1103/revmodphys.93.025001 article EN Reviews of Modern Physics 2021-04-07

We implement all single-qubit operations with fidelities significantly above the minimum threshold required for fault-tolerant quantum computing, using a trapped-ion qubit stored in hyperfine "atomic clock" states of ^{43}Ca^{+}. measure combined state preparation and single-shot readout fidelity 99.93%, memory coherence time T_{2}^{*}=50 sec, an average gate 99.9999%. These results are achieved room-temperature microfabricated surface trap, without use magnetic field shielding or dynamic...

10.1103/physrevlett.113.220501 article EN Physical Review Letters 2014-11-24

We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based different technology platforms. One is publicly accessible superconducting transmon device with limited connectivity, and the other fully connected trapped-ion system. Even though systems have native interactions, both can be programmed in way blind to underlying hardware, thus allowing first comparison identical between physical systems. show circuits employ more connectivity clearly benefit...

10.1073/pnas.1618020114 article EN Proceedings of the National Academy of Sciences 2017-03-21

Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design. It expected be one the techniques most suited take advantage additional resources provided by near-term quantum computers. Here, we implement data-driven circuit training algorithm on canonical Bars-and-Stripes dataset using quantum-classical hybrid machine. The proceeds running parameterized circuits trapped ion and feeding results classical optimizer. We apply two separate...

10.1126/sciadv.aaw9918 article EN cc-by-nc Science Advances 2019-10-11

The Grover quantum search algorithm is a hallmark application of computer with well-known speedup over classical searches an unsorted database. Here, we report results for complete three-qubit using the scalable computing technology trapped atomic ions, better-than-classical performance. Two methods state marking are used oracles: phase-flip method employed by other experimental demonstrations, and Boolean requiring ancilla qubit that directly equivalent to scheme required perform search. We...

10.1038/s41467-017-01904-7 article EN cc-by Nature Communications 2017-11-28

Combining experimental and algorithmic advances in quantum simulation improves the investigation of gauge field theories: pair creation is simulated for longer times using less computational resources.

10.1103/prxquantum.3.020324 article EN cc-by PRX Quantum 2022-05-04

We show the fault-tolerant encoding, measurement, and operation of a logical qubit via quantum error detection.

10.1126/sciadv.1701074 article EN cc-by-nc Science Advances 2017-10-06

In recent years, Quantum Computing (QC) has progressed to the point where small working prototypes are available for use. Termed Noisy Intermediate-Scale (NISQ) computers, these too large benchmarks or even Error Correction (QEC), but they do have sufficient resources run benchmarks, particularly if compiled with optimizations make use of scarce qubits and limited operation counts coherence times. QC not yet, however, settled on a particular preferred device implementation technology, indeed...

10.1145/3307650.3322273 article EN 2019-06-14

In an ion trap quantum computer, collective motional modes are used to entangle two or more qubits in order execute multi-qubit logical gates. Any residual entanglement between the internal and states of ions results loss fidelity, especially when there many spectator crystal. We propose using a frequency-modulated (FM) driving force minimize such errors. simulation, we obtained optimized FM two-qubit gate that can suppress errors less than 0.01\% is robust against frequency drifts over...

10.1103/physrevlett.120.020501 article EN publisher-specific-oa Physical Review Letters 2018-01-09

The efficient simulation of correlated quantum systems is a promising near-term application computers. Here, we present measurement the second R\'enyi entropy ground state two-site Fermi-Hubbard model on five-qubit programmable computer based trapped ions. Our work illustrates extraction nonlinear characteristic using controlled-swap gate acting two copies state. This scalable entanglement universal will, with more qubits, provide insights into many-body that are impossible to simulate classical

10.1103/physreva.98.052334 article EN publisher-specific-oa Physical review. A/Physical review, A 2018-11-26

Significance Our experiment prepares two types of nontrivial quantum states on a trapped ion computer: the thermofield double state transverse-field Ising model at arbitrary temperature and critical zero-temperature model. We use techniques motivated by approximate optimization algorithm, we implement hybrid quantum–classical loop to prepare state. results pave way for exploring strongly correlated models finite teleportation protocols inspired black hole physics.

10.1073/pnas.2006337117 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2020-09-28

Ion trap quantum computers are based on modulating the Coulomb interaction between atomic ion qubits using external forces. However, spectral crowding of collective motional modes could pose a challenge to control such interactions for large numbers qubits. Here, we show that high-fidelity gate operations still possible with very trapped crystals by small and fixed number modes, simplifying scaling computers. We present analytical work shows need not couple motion distant ions, allowing...

10.1103/physreva.100.022332 article EN publisher-specific-oa Physical review. A/Physical review, A 2019-08-26

Quantum field theories are the cornerstones of modern physics, providing relativistic and quantum mechanical descriptions physical systems at most fundamental level. Simulating real-time dynamics within these remains elusive in classical computing. This provides a unique opportunity for simulators, which hold promise revolutionizing our simulation capabilities. Trapped-ion successful quantum-simulator platforms many-body physics can operate digital, or gate-based, analog modes. Inspired by...

10.1103/physrevresearch.3.043072 article EN cc-by Physical Review Research 2021-10-26

Out-of-time-ordered correlators (OTOCs) are a key observable in wide range of interconnected fields including many-body physics, quantum information science, and gravity. Measuring OTOCs using near-term simulators will extend our ability to explore fundamental aspects these the subtle connections between them. Here, we demonstrate an experimental method measure at finite temperatures use study their temperature dependence. These measurements performed on digital computer running simulation...

10.1103/physrevlett.128.140601 article EN Physical Review Letters 2022-04-06

By leveraging shared entanglement between a pair of qubits, one can teleport quantum state from particle to another. Recent advances have uncovered an intrinsically many-body generalization teleportation, with elegant and surprising connection gravity. In particular, the teleportation information relies on dynamics, which originate strongly-interacting systems that are holographically dual gravity; gravitational perspective, such be understood as transmission through traversable wormhole....

10.1103/physrevx.12.031013 article EN cc-by Physical Review X 2022-07-20

As we approach the era of quantum advantage, when computers (QCs) can outperform any classical computer on particular tasks, there remains difficult challenge how to validate their performance. While algorithmic success be easily verified in some instances such as number factoring or oracular algorithms, these approaches only provide pass/fail information for a single QC. On other hand, comparison between different QCs same arbitrary circuit provides lower-bound generic validation:...

10.1038/s41467-022-34279-5 article EN cc-by Nature Communications 2022-11-04

We describe the fabrication and characterization of a new surface-electrode Paul ion trap designed for experiments in scalable quantum information processing with Ca+. A notable feature is symmetric electrode pattern which allows rotation normal modes motion, yielding efficient Doppler cooling single beam parallel to planar surface. propose implement technique micromotion compensation all directions using an infrared repumper laser directed into plane. Finally, we employ alternate repumping...

10.1088/1367-2630/12/5/053026 article EN cc-by New Journal of Physics 2010-05-17

We reduce measurement errors in a quantum computer using machine learning techniques. exploit simple yet versatile neural network to classify multi-qubit states, which is trained experimental data. This flexible approach allows the incorporation of any number features data with minimal modifications underlying architecture. experimentally illustrate this readout trapped-ion qubits additional spatial and temporal Using classifier, we efficiently treat qubit crosstalk, resulting 30\%...

10.1088/1361-6455/aad62b article EN Journal of Physics B Atomic Molecular and Optical Physics 2018-07-26

Abstract The quantum walk formalism is a widely used and highly successful framework for modeling systems, such as simulations of the Dirac equation, different dynamics in both low high energy regime, developing wide range algorithms. Here we present circuit-based implementation discrete-time position space on five-qubit trapped-ion processor. We encode walker positions particular multi-qubit states program system to operate with parameters, experimentally realizing cellular automaton...

10.1038/s41467-020-17519-4 article EN cc-by Nature Communications 2020-07-24

The developments of quantum computing algorithms and experiments for atomic scale simulations have largely focused on chemistry molecules, while their application in condensed matter systems is scarcely explored. Here we present a algorithm to perform dynamical mean field theory (DMFT) calculations currently available computers, demonstrate it two hardware platforms. DMFT required properly describe the large class materials with strongly correlated electrons. computationally challenging part...

10.48550/arxiv.1910.04735 preprint EN other-oa arXiv (Cornell University) 2019-01-01
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