Materials challenges for trapped-ion quantum computers
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The use of radio-frequency fields in trapped-ion traps presents several challenges to scaling, including requiring compatibility of chips with high voltages, managing power dissipation, and restricting transport and placement of ions.
“However, the use of radio-frequencies presents several challenges to scaling, including requiring compatibility of chips with high voltages4, managing power dissipation5 and restricting transport and placement of ions6.”
From Penning micro-trap for quantum computing (2024) · cites this paper as [4]
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Quantum control of qubits and atomic motion using ultrafast laser pulses
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Reduction of heating rate in a microfabricated ion trap by pulsed-laser cleaning
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Anomalous charge noise in superconducting qubits
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Electric field noise above surfaces: A model for heating-rate scaling law in ion traps
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UV-sensitive superconducting nanowire single photon detectors for integration in an ion trap
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Measuring Anomalous Heating in a Planar Ion Trap with Variable Ion-Surface Separation
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Reduction of heating rate in a microfabricated ion trap by pulsed-laser cleaningPreprint
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Demonstration of the QCCD trapped-ion quantum computer architecturePreprint
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Proposal for a scalable universal bosonic simulator using individually trapped ions
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Self-citationA microfabricated ion trap with integrated microwave circuitry
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Distance scaling of electric-field noise in a surface-electrode ion trap
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Self-citationModeling and characterization of CMOS-compatible high-voltage device structures
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Realization of Translational Symmetry in Trapped Cold Ion Rings
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Self-citationClassical Squeezing of an Oscillator for Subthermal Noise Operation
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Electric-field noise above a thin dielectric layer on metal electrodes
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Cryogenic ion trapping systems with surface-electrode traps
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Scalable arrays of rf Paul traps in degenerate Si
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Transparent ion trap with integrated photodetector
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Electric-field noise from thermally activated fluctuators in a surface ion trap
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Self-citationEvidence for multiple mechanisms underlying surface electric-field noise in ion traps
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Self-citationDemonstration of a scalable, multiplexed ion trap for quantum information processing
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High-fidelity state detection and tomography of a single-ion Zeeman qubit
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Finite-geometry models of electric field noise from patch potentials in ion traps
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The trapped-ion qubit tool box
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Transport implementation of the Bernstein–Vazirani algorithm with ion qubits
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Self-citationGround-state energy estimation of the water molecule on a trapped ion quantum computerPreprint
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Influence of monolayer contamination on electric-field-noise heating in ion traps
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Reduction of trapped-ion anomalous heating byin situsurface plasma cleaning
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Self-citationMeasurements of trapped-ion heating rates with exchangeable surfaces in close proximity
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Measurement of Ultralow Heating Rates of a Single Antiproton in a Cryogenic Penning Trap
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Quantum control of qubits and atomic motion using ultrafast laser pulses
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A microfabricated surface-electrode ion trap in siliconPreprint
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Self-citationElectrode configurations for fast separation of trapped ions
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In-vacuum active electronics for microfabricated ion traps
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Characterization of a miniature Paul-Straubel trap
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Method for determination of technical noise contributions to ion motional heating
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Distance scaling and polarization of electric-field noise in a surface ion trap
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Self-citationA tutorial on quantum error correction
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Trapped Ion Architecture for Multi‐Dimensional Quantum Simulations
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Chip-integrated voltage sources for control of trapped ions
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Distance scaling of electric-field noise in a surface-electrode ion trap
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Evidence for multiple mechanisms underlying surface electric-field noise in ion traps
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Self-citationIntegrated optical control and enhanced coherence of ion qubits via multi-wavelength photonicsPreprint
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- [58]58. Stephenson, L. J. et al. High-Rate, High-Fidelity Entanglement of Qubits Across an Elementary Quantum Network. Phys. Rev. Lett. 124, 110501 (2020).
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NISQ computing: where are we and where do we go?
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Emerging quantum computing algorithms for quantum chemistry
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Noisy intermediate-scale quantum computers
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Quantum Master Equations: Tips and Tricks for Quantum Optics, Quantum Computing, and Beyond
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An elementary review on basic principles and developments of qubits for quantum computing
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Quantum Error Correction with Metastable States of Trapped Ions Using Erasure Conversion
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Self-citationUltra‐wideband integrated photonic devices on silicon platform: from visible to mid‐IR
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2023 roadmap for materials for quantum technologies
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Heating of a Trapped Ion Induced by Dielectric Materials
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Self-citationScalable, High-Fidelity All-Electronic Control of Trapped-Ion Qubits
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Trapped Electrons and Ions as Particle Detectors
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Penning micro-trap for quantum computing
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“However, the use of radio-frequencies presents several challenges to scaling, including requiring compatibility of chips with high voltages 4 , managing power dissipation 5 and restricting transport and placement of ions 6 .”
Portable Instrumentation for Ambient Ionization and Miniature Mass Spectrometers
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TSV-integrated Surface Electrode Ion Trap for Scalable Quantum Information ProcessingPreprint
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3D-printed micro ion trap technology for quantum information applications
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Visible-Light Integrated PIN Avalanche Photodetectors With High Responsivity and Bandwidth
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Conglomeration of deep neural network and quantum learning for object detection: Status quo review
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Lanthanide‐Based Quantum Optical Materials
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A Two-Level Control Framework for Quantum Networks
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Low-loss photonic integrated circuits for UV applications
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Investigation of Aluminum and Gold Flip-Chip Bonding for Quantum Device Integration
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Probing many-body effects in harmonic traps with twisted light
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Two-way quantum computers adding CPT analog of state preparationPreprint
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Quantum Computing Anomalies in Communication
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Investigation of Aluminum and Gold Flip-Chip Bonding for Quantum Device Integration
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- Authors
- Brown, K. R., Chiaverini, J., Sage, J. M., & Häffner, H.
- Affiliations
- Duke University (US)
- MIT Lincoln Laboratory (US)
- University of California, Berkeley (US)
- Corresponding author
- Brown, Kenneth R.
- Venue
- Nature Reviews Materials
- Published
- 2021-03-25
- Volume
- 6
- Issue
- 10
- Pages
- 892-905
- ISSN
- 2058-8437 (ISSN-L)
- OpenAlex
- W3082744264
- Cited by
- 120
- References
- 139
- Citations by year
- 2026: 11 · 2025: 30 · 2024: 27 · 2023: 26 · 2022: 19 · 2021: 6 · 2020: 1
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Nature Reviews Materials (publishedVersion)
- arXiv (Cornell University) (submittedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1818914, FA8702-15-D-0001)
- U.S. Department of Defense (FA8702-15-D-0001)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Keywords
- trapped-ion quantum computer, ion trap, electric field noise, surface science, integrated photonics, integrated electronics, noise mitigation
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