Quantum simulation and computing with Rydberg-interacting qubits
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Arrays of optically trapped atoms excited to Rydberg states have recently emerged as a competitive physical platform for quantum simulation and computing, where high-fidelity state preparation and readout, quantum logic gates, and controlled quantum dynamics of more than 100 qubits have all been demonstrated. These systems are now approaching the point where reliable quantum computations with hundreds of qubits and realistically thousands of multiqubit gates with low error rates should be within reach for the first time. In this article, the authors give an overview of the Rydberg quantum toolbox, emphasizing the high degree of flexibility for encoding qubits, performing quantum operations, and engineering quantum many-body Hamiltonians. The authors then review the state-of-the-art concerning high-fidelity quantum operations and logic gates as well as quantum simulations in many-body regimes. Finally, the authors discuss computing schemes that are particularly suited to the Rydberg platform and some of the remaining challenges on the road to general purpose quantum simulators and quantum computers.
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The ability to introduce strong and widely tunable interactions has led to successful application in many-body physics and analogue quantum simulation.
“The ability to introduce these strong and widely tunable interactions has led to a successful application in many-body physics and analogue quantum simulation [37].”
From Neutral atom quantum computing hardware: performance and end-user perspective (2023) · cites this paper as [37]
Neutral atom quantum computers natively support single-qubit rotations, CZ, CNOT, SWAP, and CPHASE gates.
“Single-qubit rotations, CZ → CNOT [20, 38], SWAP,”
From Neutral atom quantum computing hardware: performance and end-user perspective (2023) · cites this paper as [37]
Neutral atom quantum computers natively support CCZ, Toffoli/CCNOT, CkZ, and generalisations to k control qubits.
“CCZ → Toffoli /CCNOT [20, 38], C k Z, generalisation to k”
From Neutral atom quantum computing hardware: performance and end-user perspective (2023) · cites this paper as [37]
Cites
Quantum Computing in the NISQ era and beyond
Preskill, J. (2018) · Quantum · doi:10.22331/q-2018-08-06-79 · Cited by 8,830 · see citing works
Quantum supremacy using a programmable superconducting processor
Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature · doi:10.1038/s41586-019-1666-5 · Cited by 7,720 · see citing works
Simulating physics with computers
Feynman, R. P. (1982) · International Journal of Theoretical Physics · doi:10.1007/bf02650179 · Cited by 7,691 · see citing works
Lloyd, S. (1996) · Science · doi:10.1126/science.273.5278.1073 · Cited by 3,088 · cited 1× · see citing works
“If these gates constitute a universal set then in principle a digital quantum simulator can simulate any local Hamiltonian 6 , including those with terms that are not natively realized by the physical system.”
BackgroundSurface codes: Towards practical large-scale quantum computation
Fowler, A. G., Mariantoni, M., Martinis, J. M., & Cleland, A. N. (2012) · Physical Review A · doi:10.1103/physreva.86.032324 · Cited by 3,059 · cited 1× · see citing works
“The development of these techniques for the Rydberg platform should ultimately enable the realization of quantum error correcting codes with sizable numbers of logical qubits and logical gates for fault-tolerant quantum computing 321,322 .”
MethodGeorgescu, I. M., Ashhab, S., & Nori, F. (2014) · Reviews of Modern Physics · doi:10.1103/revmodphys.86.153 · Cited by 2,932 · see citing works
Probing many-body dynamics on a 51-atom quantum simulator
Bernien, H., Schwartz, S., Keesling, A., Levine, H., Omran, A., Pichler, H., Choi, S., Zibrov, A. S., Endres, M., Greiner, M., et al. (2017) · Nature · doi:10.1038/nature24622 · Cited by 2,460 · see citing works
Quantum simulations with ultracold quantum gases
Bloch, I., Dalibard, J., & Nascimbène, S. (2012) · Nature Physics · doi:10.1038/nphys2259 · Cited by 2,339 · cited 1× · see citing works
“Neutral atoms in particular can be well isolated from the environment and prepared in relatively large systems of hundreds or thousands of particles with different geometries 24,25 using laser cooling and trapping techniques.”
Quantum annealing in the transverse Ising model
Kadowaki, T., & Nishimori, H. (1998) · Physical Review E · doi:10.1103/physreve.58.5355 · Cited by 2,339 · see citing works
The theory of variational hybrid quantum-classical algorithms
McClean, J. R., Romero, J., Babbush, R., & Aspuru-Guzik, A. (2016) · New Journal of Physics · doi:10.1088/1367-2630/18/2/023023 · Cited by 2,227 · see citing works
Superconducting Qubits: Current State of Play
Kjaergaard, M., Schwartz, M. E., Braumüller, J., Krantz, P., Wang, J. I.-J., Gustavsson, S., & Oliver, W. D. (2020) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-031119-050605 · Cited by 1,544 · cited 3× · see citing works
“997 (SC 15 ), F > 0 .”
BackgroundObservation of a many-body dynamical phase transition with a 53-qubit quantum simulator
Zhang, J., Pagano, G., Hess, P. W., Kyprianidis, A., Becker, P., Kaplan, H., Gorshkov, A. V., Gong, Z.-X., & Monroe, C. (2017) · Nature · doi:10.1038/nature24654 · Cited by 1,079 · see citing works
Goals and opportunities in quantum simulation
Cirac, J. I., & Zoller, P. (2012) · Nature Physics · doi:10.1038/nphys2275 · Cited by 891 · see citing works
Buluta, I., & Nori, F. (2009) · Science · doi:10.1126/science.1177838 · Cited by 876 · cited 2× · see citing works
“1b, and simulating its time evolution by successively applying a programmable sequence of quantum gates 3,5–7 .”
BackgroundMethodObservation of collective excitation of two individual atoms in the Rydberg blockade regime
Gaëtan, A., Miroshnychenko, Y., Wilk, T., Chotia, A., Viteau, M., Comparat, D., Pillet, P., Browaeys, A., & Grangier, P. (2009) · Nature Physics · doi:10.1038/nphys1183 · Cited by 846 · see citing works
Validating quantum computers using randomized model circuits
Cross, A. W., Bishop, L. S., Sheldon, S., Nation, P. D., & Gambetta, J. M. (2019) · Physical Review A · doi:10.1103/physreva.100.032328 · Cited by 704 · see citing works
Quantum computing with neutral atoms
Henriet, L., Beguin, L., Signoles, A., Lahaye, T., Browaeys, A., Reymond, G.-O., & Jurczak, C. (2020) · Quantum · doi:10.22331/q-2020-09-21-327 · Cited by 550 · see citing works
Demonstration of the trapped-ion quantum CCD computer architecture
Pino, J. M., Dreiling, J. M., Figgatt, C., Gaebler, J. P., Moses, S. A., Allman, M. S., Baldwin, C. H., Foss-Feig, M., Hayes, D., Mayer, K., et al. (2021) · Nature · doi:10.1038/s41586-021-03318-4 · Cited by 547 · see citing works
Perspectives of quantum annealing: methods and implementations
Hauke, P., Katzgraber, H. G., Lechner, W., Nishimori, H., & Oliver, W. D. (2020) · Reports on Progress in Physics · doi:10.1088/1361-6633/ab85b8 · Cited by 507 · see citing works
Adiabatic Quantum Computation Is Equivalent to Standard Quantum Computation
Aharonov, D., van Dam, W., Kempe, J., Landau, Z., Lloyd, S., & Regev, O. (2008) · SIAM Review · doi:10.1137/080734479 · Cited by 395 · cited 1× · see citing works
“It can also be thought of as a key step toward more general purpose adiabatic quantum computers, a promising alternative to digital circuit based approaches 272,273 .”
BackgroundCan one trust quantum simulators?
Hauke, P., Cucchietti, F. M., Tagliacozzo, L., Deutsch, I., & Lewenstein, M. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/8/082401 · Cited by 315 · cited 1× · see citing works
“An important issue that applies to both quantum computers and quantum simulators in any platform is whether one can trust that they are producing correct results 94,95 .”
BackgroundPerspectives on quantum transduction
Lauk, N., Sinclair, N., Barzanjeh, S., Covey, J. P., Saffman, M., Spiropulu, M., & Simon, C. (2020) · Quantum Science and Technology · doi:10.1088/2058-9565/ab788a · Cited by 305 · see citing works
Gate-count estimates for performing quantum chemistry on small quantum computers
Wecker, D., Bauer, B., Clark, B. K., Hastings, M. B., & Troyer, M. (2014) · Physical Review A · doi:10.1103/physreva.90.022305 · Cited by 296 · see citing works
Rydberg-Mediated Entanglement in a Two-Dimensional Neutral Atom Qubit Array
Graham, T. M., Kwon, M., Grinkemeyer, B., Marra, Z., Jiang, X., Lichtman, M. T., Sun, Y., Ebert, M., & Saffman, M. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.230501 · Cited by 293 · see citing works
A quantum annealing architecture with all-to-all connectivity from local interactions
Lechner, W., Hauke, P., & Zoller, P. (2015) · Science Advances · doi:10.1126/sciadv.1500838 · Cited by 256 · see citing works
Randomized Benchmarking of Single-Qubit Gates in a 2D Array of Neutral-Atom Qubits
Xia, T., Lichtman, M., Maller, K., Carr, A. W., Piotrowicz, M. J., Isenhower, L., & Saffman, M. (2015) · Physical Review Letters · doi:10.1103/physrevlett.114.100503 · Cited by 249 · see citing works
Shuttling-based trapped-ion quantum information processing
Kaushal, V., Lekitsch, B., Stahl, A., Hilder, J., Pijn, D., Schmiegelow, C., Bermudez, A., Müller, M., Schmidt-Kaler, F., & Poschinger, U. (2020) · AVS Quantum Science · doi:10.1116/1.5126186 · Cited by 141 · see citing works
Gray-Molasses Optical-Tweezer Loading: Controlling Collisions for Scaling Atom-Array Assembly
Brown, M. O., Thiele, T., Kiehl, C., Hsu, T.-W., & Regal, C. A. (2019) · Physical Review X · doi:10.1103/physrevx.9.011057 · Cited by 99 · see citing works
A coherent quantum annealer with Rydberg atoms
Glaetzle, A. W., van Bijnen, R. M. W., Zoller, P., & Lechner, W. (2017) · Nature Communications · doi:10.1038/ncomms15813 · Cited by 91 · see citing works
Fault-Tolerant Operation of a Quantum Error-Correction Code
Egan, L., Debroy, D. M., Noel, C., Risinger, A., Zhu, D., Biswas, D., Newman, M., Li, M., Brown, K. R., Cetina, M., et al. (2020) · arXiv · doi:10.48550/arxiv.2009.11482 · Cited by 65 · see citing works
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Quantum phases of matter on a 256-atom programmable quantum simulator
Ebadi, S., Wang, T. T., Levine, H., Keesling, A., Semeghini, G., Omran, A., Bluvstein, D., Samajdar, R., Pichler, H., Ho, W. W., et al. (2021) · Nature · doi:10.1038/s41586-021-03582-4 · Cited by 995 · see citing works
Mid-circuit correction of correlated phase errors using an array of spectator qubits
Singh, K., Bradley, C. E., Anand, S., Ramesh, V., White, R., & Bernien, H. (2023) · Science · doi:10.1126/science.ade5337 · Cited by 119 · see citing works
Neutral atom quantum computing hardware: performance and end-user perspective
Wintersperger, K., Dommert, F., Ehmer, T., Hoursanov, A., Klepsch, J., Mauerer, W., Reuber, G., Strohm, T., Yin, M., & Luber, S. (2023) · EPJ Quantum Technology · doi:10.1140/epjqt/s40507-023-00190-1 · Cited by 117 · see citing works
Fast Preparation and Detection of a Rydberg Qubit Using Atomic Ensembles
Xu, W., Venkatramani, A. V., Cantú, S. H., Šumarac, T., Klüsener, V., Lukin, M. D., & Vuletić, V. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.050501 · Cited by 64 · see citing works
Onset of Scrambling as a Dynamical Transition in Tunable-Range Quantum Circuits
Kuriyattil, S., Hashizume, T., Bentsen, G., & Daley, A. J. (2023) · PRX Quantum · doi:10.1103/prxquantum.4.030325 · Cited by 5 · see citing works
- Authors
- Morgado, M., & Whitlock, S.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Venue
- AVS Quantum Science
- Publisher
- American Vacuum Society
- Published
- 2021-05-03
- Volume
- 3
- Issue
- 2
- ISSN
- 2639-0213 (ISSN-L)
- OpenAlex
- W3114964656
- Cited by
- 370
- References
- 30
- Citations by year
- 2026: 52 · 2025: 87 · 2024: 75 · 2023: 80 · 2022: 56 · 2021: 19 · 2020: 1
- FWCI
- 25.10
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- AVS Quantum Science (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Agence Nationale de la Recherche (ANR-17-EURE-0024)
- H2020 Marie Skłodowska-Curie Actions (847471)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
- Keywords
- Rydberg atoms, quantum simulation, quantum computing, optically trapped atoms, quantum gates, quantum many-body systems, qubit encoding, quantum error rates
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