Abstract
Trapped-ion quantum information processors store information in atomic ions maintained in position in free space by electric fields. Quantum logic is enacted through manipulation of the ions’ internal and shared motional quantum states using optical and microwave signals. Although trapped ions show great promise for quantum-enhanced computation, sensing and communication, materials research is needed to design traps that allow for improved performance by means of integration of system components, including optics and electronics for ion-qubit control, while minimizing the near-ubiquitous electric-field noise produced by trap-electrode surfaces. In this Review, we consider the materials requirements for such integrated systems, with a focus on problems that hinder current progress towards practical quantum computation. We give suggestions for how materials scientists and trapped-ion technologists can work together to develop materials-based integration and noise-mitigation strategies to enable the next generation of trapped-ion quantum computers.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Bermudez, A. et al. Assessing the progress of trapped-ion processors towards fault-tolerant quantum computation. Phys. Rev. X 7, 041061 (2017).
Bollinger, J., Heinzen, D., Itano, W., Gilbert, S. & Wineland, D. A 303-MHz frequency standard based on trapped Be+ ions. IEEE Trans. Instrum. Meas. 40, 126–128 (1991).
Harty, T. P. et al. High-fidelity preparation, gates, memory, and readout of a trapped-ion quantum bit. Phys. Rev. Lett. 113, 220501 (2014).
Wang, P. et al. Single ion-qubit exceeding one hour coherence time. Nat. Commun. 2, 233 (2021).
Gaebler, J. et al. High-fidelity universal gate set for Be ion qubits. Phys. Rev. Lett. 117, 060505 (2016).
Cirac, J. I. & Zoller, P. Quantum computations with cold trapped ions. Phys. Rev. Lett. 74, 4091–4094 (1995).
Sørensen, A. S. & Mølmer, K. Entanglement and quantum computation with ions in thermal motion. Phys. Rev. A 62, 22311 (2000).
Mintert, F. & Wunderlich, C. Ion-trap quantum logic using long-wavelength radiation. Phys. Rev. Lett. 87, 257904 (2001).
Weidt, S. et al. Trapped-ion quantum logic with global radiation fields. Phys. Rev. Lett. 117, 220501 (2016).
Ospelkaus, C. et al. Microwave quantum logic gates for trapped ions. Nature 476, 181–184 (2011).
Sutherland, R. T. et al. Laser-free trapped-ion entangling gates with simultaneous insensitivity to qubit and motional decoherence. Phys. Rev. A 101, 042334 (2020).
Ballance, C. J., Harty, T. P., Linke, N. M., Sepiol, M. A. & Lucas, D. M. High-fidelity quantum logic gates using trapped-ion hyperfine qubits. Phys. Rev. Lett. 117, 060504 (2016).
Harty, T. P. et al. High-fidelity trapped-ion quantum logic using near-field microwaves. Phys. Rev. Lett. 117, 140501 (2016).
Wineland, D. J. et al. Experimental issues in coherent quantum-state manipulation of trapped atomic ions. J. Res. Natl Inst. Stand. Technol. 103, 259–328 (1998).
Keselman, A., Glickman, Y., Akerman, N., Kotler, S. & Ozeri, R. High-fidelity state detection and tomography of a single-ion Zeeman qubit. N. J. Phys. 13, 073027 (2011).
Crain, S. et al. High-speed low-crosstalk detection of a 171Yb+ qubit using superconducting nanowire single photon detectors. Commun. Phys. 2, 97 (2019).
Christensen, B. G. et al. Anomalous charge noise in superconducting qubits. Phys. Rev. B 100, 140503 (2019).
Champenois, C. et al. Characterization of a miniature Paul–Straubel trap. Eur. Phys. J. D 15, 105–111 (2001).
Lau, H.-K. & James, D. F. V. Proposal for a scalable universal bosonic simulator using individually trapped ions. Phys. Rev. A 85, 062329 (2012).
Natarajan, V., DiFilippo, F. & Pritchard, D. E. Classical squeezing of an oscillator for subthermal noise operation. Phys. Rev. Lett. 74, 2855–2858 (1995).
Burd, S. C. et al. Quantum amplification of mechanical oscillator motion. Science 364, 1163–1165 (2019).
Myerson, A. H. et al. High-fidelity readout of trapped-ion qubits. Phys. Rev. Lett. 100, 200502 (2008).
Bock, M. et al. High-fidelity entanglement between a trapped ion and a telecom photon via quantum frequency conversion. Nat. Commun. 9, 1998 (2018).
Stephenson, L. J. et al. High-rate, high-fidelity entanglement of qubits across an elementary quantum network. Phys. Rev. Lett. 124, 110501 (2020).
Burrell, A. High Fidelity Readout of Trapped Ion Qubits. Thesis, Oxford Univ. (2010).
Hanneke, D. et al. Realization of a programmable two-qubit quantum processor. Nat. Phys. 6, 13–16 (2009).
Schindler, P. et al. A quantum information processor with trapped ions. N. J. Phys. 15, 123012 (2013).
Fallek, S. D. et al. Transport implementation of the Bernstein–Vazirani algorithm with ion qubits. N. J. Phys. 18, 083030 (2016).
Monz, T. et al. Realization of a scalable Shor algorithm. Science 351, 1068–1070 (2016).
Debnath, S. et al. Demonstration of a small programmable quantum computer with atomic qubits. Nature 536, 63–66 (2016).
Linke, N. M. et al. Experimental comparison of two quantum computing architectures. Proc. Natl Acad. Sci. USA 114, 3305–3310 (2017).
Hempel, C. et al. Quantum chemistry calculations on a trapped-ion quantum simulator. Phys. Rev. X 8, 031022 (2018).
Wright, K. et al. Benchmarking an 11-qubit quantum computer. Nat. Commun. 10, 5464 (2019).
Pino, J. M. et al. Demonstration of the QCCD trapped-ion quantum computer architecture. Preprint at arXiv https://arxiv.org/abs/2003.01293v3 (2020).
Bohnet, J. G. et al. Quantum spin dynamics and entanglement generation with hundreds of trapped ions. Science 352, 1297–1301 (2016).
Zhang, J. et al. Observation of a discrete time crystal. Nature 543, 217–220 (2017).
Gorman, D. J. et al. Engineering vibrationally-assisted energy transfer in a trapped-ion quantum simulator. Phys. Rev. X 8, 011038 (2018).
Clark, C. R., Metodi, T. S., Gasster, S. D. & Brown, K. R. Resource requirements for fault-tolerant quantum simulation: the ground state of the transverse Ising model. Phys. Rev. A 79, 062314 (2009).
Kielpinski, D., Monroe, C. & Wineland, D. J. Architecture for a large-scale ion-trap quantum computer. Nature 417, 709–711 (2002).
Chiaverini, J. et al. Surface-electrode architecture for ion-trap quantum information processing. Quantum Inf. Comput. 5, 419–439 (2005).
Seidelin, S. et al. Microfabricated surface-electrode ion trap for scalable quantum information processing. Phys. Rev. Lett. 96, 253003 (2006).
Lekitsch, B. et al. Blueprint for a microwave trapped ion quantum computer. Sci. Adv. 3, e1601540 (2017).
Monroe, C. et al. Large-scale modular quantum-computer architecture with atomic memory and photonic interconnects. Phys. Rev. A 89, 022317 (2014).
Nickerson, N. H., Fitzsimons, J. F. & Benjamin, S. C. Freely scalable quantum technologies using cells of 5-to-50 qubits with very lossy and noisy photonic links. Phys. Rev. X 4, 041041 (2014).
Raizen, M. G., Gilligan, J. M., Bergquist, J. C., Itano, W. M. & Wineland, D. J. Ionic crystals in a linear Paul trap. Phys. Rev. A 45, 6493–6501 (1992).
Blatt, R. & Wineland, D. Entangled states of trapped atomic ions. Nature 453, 1008–1015 (2008).
Häffner, H., Roos, C. F. & Blatt, R. Quantum computing with trapped ions. Phys. Rep. 469, 155–203 (2008).
Ozeri, R. The trapped-ion qubit tool box. Contemp. Phys. 52, 531–550 (2011).
Bruzewicz, C. D., Chiaverini, J., McConnell, R. & Sage, J. M. Trapped-ion quantum computing: progress and challenges. Appl. Phys. Rev. 6, 021314 (2019).
Romaszko, Z. et al. Engineering of microfabricated ion traps and integration of advanced on-chip features. Nat. Rev. Phys. 2, 285–299 (2020).
Monroe, C. & Kim, J. Scaling the ion trap quantum processor. Science 339, 1164–1169 (2013).
Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79 (2018).
Mehta, K. K. et al. Integrated optical addressing of an ion qubit. Nat. Nanotechnol. 11, 1066–1070 (2016).
Stuart, J. et al. Chip-integrated voltage sources for control of trapped ions. Phys. Rev. Appl. 11, 024010 (2019).
Todaro, S. L. et al. State readout of a trapped ion qubit using a trap-integrated superconducting photon detector. Phys. Rev. Lett. 126, 010501 (2021).
Niffenegger, R. J. et al. Integrated optical control and enhanced coherence of ion qubits via multi-wavelength photonics. Nature 586, 538–542 (2020).
Mehta, K. K. et al. Integrated optical multi-ion quantum logic. Nature 586, 533–537 (2020).
Hucul, D. et al. Modular entanglement of atomic qubits using photons and phonons. Nat. Phys. 11, 37–42 (2015).
Guise, N. D. et al. In-vacuum active electronics for microfabricated ion traps. Rev. Sci. Instrum. 85, 063101 (2014).
Ospelkaus, C. et al. Trapped-ion quantum logic gates based on oscillating magnetic fields. Phys. Rev. Lett. 101, 90502 (2008).
Srinivas, R. et al. Trapped-ion spin–motion coupling with microwaves and a near-motional oscillating magnetic field gradient. Phys. Rev. Lett. 122, 163201 (2019).
Steane, A. A tutorial on quantum error correction. in Proc. Int. School Phys. ‘Enrico Fermi’ (eds Casati, G. et al.) 1–32 (IOS, 2006).
Chiaverini, J. et al. Realization of quantum error correction. Nature 432, 602–605 (2004).
Schindler, P. et al. Experimental repetitive quantum error correction. Science 332, 1059–1061 (2011).
Sorace-Agaskar, C. et al. Versatile silicon nitride and alumina integrated photonic platforms for the ultraviolet to short-wave infrared. IEEE J. Sel. Top. Quantum Electron. 25, 8201515 (2019).
West, G. N. et al. Low-loss integrated photonics for the blue and ultraviolet regime. APL Photonics 4, 026101 (2019).
Katzir, A., Livanos, A., Shellan, J. & Yariv, A. Chirped gratings in integrated optics. IEEE J. Quantum Electron. 13, 296–304 (1977).
Rahim, A., Spuesens, T., Baets, R. & Bogaerts, W. Open-access silicon photonics: current status and emerging initiatives. Proc. IEEE 106, 2313–2330 (2018).
Wan, Y. et al. Quantum gate teleportation between separated zones of a trapped-ion processor. Science 364, 875–878 (2019).
Negnevitsky, V. et al. Repeated multi-qubit readout and feedback with a mixed-species trapped-ion register. Nature 563, 527–531 (2018).
Ball, H. et al. Site-resolved imaging of beryllium ion crystals in a high-optical-access Penning trap with inbore optomechanics. Rev. Sci. Instrum. 90, 053103 (2019).
Warring, U., Hakelberg, F., Kiefer, P., Wittemer, M. & Schaetz, T. Trapped ion architecture for multi-dimensional quantum simulations. Adv. Quantum Technol. 3, 1900137 (2020).
Campbell, W. C. et al. Ultrafast gates for single atomic qubits. Phys. Rev. Lett. 105, 090502 (2010).
Mizrahi, J. et al. Quantum control of qubits and atomic motion using ultrafast laser pulses. Appl. Phys. B 114, 45–61 (2014).
Nam, Y. et al. Ground-state energy estimation of the water molecule on a trapped ion quantum computer. npj Quantum Inf. 6, 33 (2020).
Feng, M. et al. On-chip integration of GaN-based laser, modulator, and photodetector grown on Si. IEEE J. Sel. Top. Quantum Electron. 24, 1–5 (2018).
Xiong, C. et al. Aluminum nitride as a new material for chip-scale optomechanics and nonlinear optics. N. J. Phys. 14, 095014 (2012).
Zhu, S. & Lo, G.-Q. Aluminum nitride electro-optic phase shifter for backend integration on silicon. Opt. Express 24, 12501–12506 (2016).
Wang, C., Zhang, M., Stern, B., Lipson, M. & Loncar, M. Nanophotonic lithium niobate electro-optic modulators. Opt. Express 26, 1547–1555 (2018).
Reed, G. T., Mashanovich, G., Gardes, F. Y. & Thomson, D. J. Silicon optical modulators. Nat. Photonics 4, 518–526 (2010).
Haffner, C. et al. Low-loss plasmon-assisted electro-optic modulator. Nature 556, 483–486 (2018).
Semenov, A. D., Gol’tsman, G. N. & Korneev, A. A. Quantum detection by current carrying superconducting film. Phys. C. Supercond. 351, 349–356 (2001).
Marsili, F. et al. Detecting single infrared photons with 93% system efficiency. Nat. Photonics 7, 210–214 (2013).
Slichter, D. H. et al. UV-sensitive superconducting nanowire single photon detectors for integration in an ion trap. Opt. Express 25, 8705 (2017).
Rochas, A. et al. Single photon detector fabricated in a complementary metal–oxide–semiconductor high-voltage technology. Rev. Sci. Instrum. 74, 3263–3270 (2003).
Parpia, Z., Salama, C. A. T. & Hadaway, R. A. Modeling and characterization of CMOS-compatible high-voltage device structures. IEEE Trans. Electron. Devices 34, 2335–2343 (1987).
Mishra, U. K., Shen, L., Kazior, T. E. & Wu, Y. GaN-based RF power devices and amplifiers. Proc. IEEE 96, 287–305 (2008).
Allcock, D. T. C. et al. A microfabricated ion trap with integrated microwave circuitry. Appl. Phys. Lett. 102, 44103 (2013).
Maunz, P. High Optical Access Trap 2.0 (Sandia National Laboratories, 2016).
Siverns, J. D., Simkins, L. R., Weidt, S. & Hensinger, W. K. On the application of radio frequency voltages to ion traps via helical resonators. Appl. Phys. B 107, 921–934 (2012).
Eltony, A. M., Wang, S. X., Akselrod, G. M., Herskind, P. F. & Chuang, I. L. Transparent ion trap with integrated photodetector. Appl. Phys. Lett. 102, 054106 (2013).
Kessler, E. M. et al. Heisenberg-limited atom clocks based on entangled qubits. Phys. Rev. Lett. 112, 190403 (2014).
Reiter, F., Sørensen, A. S., Zoller, P. & Muschik, C. A. Dissipative quantum error correction and application to quantum sensing with trapped ions. Nat. Commun. 8, 1822 (2017).
Home, J. P. & Steane, A. M. Electrode configurations for fast separation of trapped ions. Quantum Inf. Comput. 6, 289 (2006).
Walther, A. et al. Controlling fast transport of cold trapped ions. Phys. Rev. Lett. 109, 80501 (2012).
Bowler, R. et al. Coherent diabatic ion transport and separation in a multizone trap array. Phys. Rev. Lett. 109, 080502 (2012).
Turchette, Q. A. et al. Heating of trapped ions from the quantum ground state. Phys. Rev. A 61, 063418 (2000).
Johnson, J. B. Thermal agitation of electricity in conductors. Phys. Rev. 32, 97–109 (1928).
Nyquist, H. Thermal agitation of electric charge in conductors. Phys. Rev. 32, 110–113 (1928).
Brownnutt, M., Kumph, M., Rabl, P. & Blatt, R. Ion-trap measurements of electric-field noise near surfaces. Rev. Mod. Phys. 87, 1419–1482 (2015).
Deslauriers, L. et al. Scaling and suppression of anomalous heating in ion traps. Phys. Rev. Lett. 97, 103007 (2006).
Leibrandt, D. R. et al. Demonstration of a scalable, multiplexed ion trap for quantum information processing. Quantum Inf. Comput. 9, 0901 (2009).
Chiaverini, J. & Sage, J. M. Insensitivity of the rate of ion motional heating to trap-electrode material over a large temperature range. Phys. Rev. A 89, 012318 (2014).
Sedlacek, J. A. et al. Evidence for multiple mechanisms underlying surface electric-field noise in ion traps. Phys. Rev. A 98, 63430 (2018).
Allcock, D. T. C. et al. Reduction of heating rate in a microfabricated ion trap by pulsed-laser cleaning. N. J. Phys. 13, 123023 (2011).
McConnell, R., Bruzewicz, C., Chiaverini, J. & Sage, J. Reduction of trapped-ion anomalous heating by in situ surface plasma cleaning. Phys. Rev. A 92, 020302 (2015).
Hite, D. A. et al. 100-fold reduction of electric-field noise in an ion trap cleaned with in situ argon-ion-beam bombardment. Phys. Rev. Lett. 109, 103001 (2012).
Daniilidis, N. et al. Surface noise analysis using a single-ion sensor. Phys. Rev. B 89, 245435 (2014).
Wang, S. X. et al. Superconducting microfabricated ion traps. Appl. Phys. Lett. 97, 244102 (2010).
Boldin, I. A., Kraft, A. & Wunderlich, C. Measuring anomalous heating in a planar ion trap with variable ion-surface separation. Phys. Rev. Lett. 120, 023201 (2018).
Sedlacek, J. A. et al. Distance scaling of electric-field noise in a surface-electrode ion trap. Phys. Rev. A 97, 020302(R) (2018).
An, D., Matthiesen, C., Urban, E. & Häffner, H. Distance scaling and polarization of electric-field noise in a surface ion trap. Phys. Rev. A 100, 063405 (2019).
Noel, C. et al. Electric-field noise from thermally activated fluctuators in a surface ion trap. Phys. Rev. A 99, 063427 (2019).
Kim, E. et al. Electric-field noise from carbon-adatom diffusion on a Au(110) surface: first-principles calculations and experiments. Phys. Rev. A 95, 033407 (2017).
Labaziewicz, J. et al. Suppression of heating rates in cryogenic surface-electrode ion traps. Phys. Rev. Lett. 100, 013001 (2008).
Hite, D. A. et al. Measurements of trapped-ion heating rates with exchangeable surfaces in close proximity. MRS Adv. 2, 2189–2197 (2017).
Sandoghdar, V., Sukenik, C. I., Hinds, E. A. & Haroche, S. Direct measurement of the van der Waals interaction between an atom and its images in a micron-sized cavity. Phys. Rev. Lett. 68, 3432 (1992).
Dubessy, R., Coudreau, T. & Guidoni, L. Electric field noise above surfaces: a model for heating-rate scaling law in ion traps. Phys. Rev. A 80, 031402(R) (2009).
Low, G. H., Herskind, P. F. & Chuang, I. L. Finite-geometry models of electric field noise from patch potentials in ion traps. Phys. Rev. A 84, 053425 (2011).
Kumph, M., Henkel, C., Rabl, P., Brownnutt, M. & Blatt, R. Electric-field noise above a thin dielectric layer on metal electrodes. N. J. Phys. 18, 023020 (2016).
Safavi-Naini, A., Rabl, P., Weck, P. F. & Sadeghpour, H. R. Microscopic model of electric-field-noise heating in ion traps. Phys. Rev. A 84, 023412 (2011).
Safavi-Naini, A., Kim, E., Weck, P. F., Rabl, P. & Sadeghpour, H. R. Influence of monolayer contamination on electric-field-noise heating in ion traps. Phys. Rev. A 87, 023421 (2013).
Ray, K. G., Rubenstein, B. M., Gu, W. & Lordi, V. van der Waals-corrected density functional study of electric field noise heating in ion traps caused by electrode surface adsorbates. N. J. Phys. 21, 053043 (2019).
Sedlacek, J. A. et al. Method for determination of technical noise contributions to ion motional heating. J. Appl. Phys. 124, 214904 (2018).
Grundner, M. & Halbritter, J. XPS and AES studies on oxide growth and oxide coatings on niobium. J. Appl. Phys. 51, 397–405 (1980).
Britton, J. et al. A microfabricated surface-electrode ion trap in silicon. Preprint at arXiv https://arxiv.org/abs/quant-ph/0605170v1 (2008).
Britton, J. et al. Scalable arrays of rf Paul traps in degenerate Si. Appl. Phys. Lett. 95, 173102 (2009).
Li, H.-K. et al. Realization of translational symmetry in trapped cold ion rings. Phys. Rev. Lett. 118, 053001 (2017).
Antohi, P. B. et al. Cryogenic ion trapping systems with surface-electrode traps. Rev. Sci. Instrum. 80, 013103 (2009).
Jain, S., Alonso, J., Grau, M. & Home, J. P. Scalable arrays of micro-Penning traps for quantum computing and simulation. Phys. Rev. X 10, 031027 (2020).
Goodwin, J. F., Stutter, G., Thompson, R. C. & Segal, D. M. Resolved-sideband laser cooling in a Penning trap. Phys. Rev. Lett. 116, 143002 (2016).
Borchert, M. J. et al. Measurement of ultralow heating rates of a single antiproton in a cryogenic Penning trap. Phys. Rev. Lett. 122, 043201 (2019).
Acknowledgements
The authors thank M. Kuzyk for assistance with Fig. 1. K.R.B. and H.H. acknowledge support from the US National Science Foundation STAQ project Phy-1818914. This material is based on work supported by the US Department of Defense under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Defense.
Author information
Authors and Affiliations
Contributions
The authors contributed equally to all aspects of the article.
Corresponding author
Ethics declarations
Competing interests
K.R.B. is a scientific adviser for IonQ, Inc., and has a personal financial interest in the company.
Additional information
Peer review information
Nature Reviews Materials thanks Roee Ozeri, Jonathan Home and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Brown, K.R., Chiaverini, J., Sage, J.M. et al. Materials challenges for trapped-ion quantum computers. Nat Rev Mater 6, 892–905 (2021). https://doi.org/10.1038/s41578-021-00292-1
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41578-021-00292-1
This article is cited by
-
An elementary review on basic principles and developments of qubits for quantum computing
Nano Convergence (2024)
-
Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics
Nature Reviews Chemistry (2024)
-
Efficient bosonic nonlinear phase gates
npj Quantum Information (2024)
-
Penning micro-trap for quantum computing
Nature (2024)
-
Let the ions sing
Nature Physics (2023)