The DOI matches its Crossref record; 75 of the 76 references it cites were found in a registry or an index.
Quantum phases of matter on a 256-atom programmable quantum simulator
Open accessAbstract
Motivated by far-reaching applications ranging from quantum simulations of complex processes in physics and chemistry to quantum information processing1, a broad effort is currently underway to build large-scale programmable quantum systems. Such systems provide insights into strongly correlated quantum matter2–6, while at the same time enabling new methods for computation7–10 and metrology11. Here we demonstrate a programmable quantum simulator based on deterministically prepared two-dimensional arrays of neutral atoms, featuring strong interactions controlled by coherent atomic excitation into Rydberg states12. Using this approach, we realize a quantum spin model with tunable interactions for system sizes ranging from 64 to 256 qubits. We benchmark the system by characterizing high-fidelity antiferromagnetically ordered states and demonstrating quantum critical dynamics consistent with an Ising quantum phase transition in (2 + 1) dimensions13. We then create and study several new quantum phases that arise from the interplay between interactions and coherent laser excitation14, experimentally map the phase diagram and investigate the role of quantum fluctuations. Offering a new lens into the study of complex quantum matter, these observations pave the way for investigations of exotic quantum phases, non-equilibrium entanglement dynamics and hardware-efficient realization of quantum algorithms. A programmable quantum simulator with 256 qubits is created using neutral atoms in two-dimensional optical tweezer arrays, demonstrating a quantum phase transition and revealing new quantum phases of matter.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The lifetime of an atom in such a microtrap is mostly limited by the residual vacuum pressure and typically lies in the range of 10-20 s [29,30].”
From Neutral atom quantum computing hardware: performance and end-user perspective (2023) · cites this paper as [29]
In the citing paper
“10-60 s [22, 23, 29, 30] (up to 6000 s with cryostat [39])”
From Neutral atom quantum computing hardware: performance and end-user perspective (2023) · cites this paper as [29]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
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
Density matrix formulation for quantum renormalization groups
White, S. R. (1992) · Physical Review Letters · doi:10.1103/physrevlett.69.2863 · Cited by 7,702
Giovannetti, V., Lloyd, S., & Maccone, L. (2011) · Nature Photonics · doi:10.1038/nphoton.2011.35 · Cited by 3,894
Density-matrix algorithms for quantum renormalization groups
White, S. R. (1993) · Physical Review B · doi:10.1103/physrevb.48.10345 · Cited by 3,244
Sachdev, S. (2011) · doi:10.1017/cbo9780511973765 · Cited by 2,842 · cited 13×
“After evolution under the Hamiltonian (1), the state of each atomic qubit is read out by fluorescence imaging that detects only atoms in g⟩, while atoms in r⟩ are detected as loss.”
BackgroundMethodInfluentialProbing 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
Self-citationQuantum computational advantage using photons
Zhong, H.-S., Wang, H., Deng, Y.-H., Chen, M.-C., Peng, L.-C., Luo, Y.-H., Qin, J., Wu, D., Ding, X., Hu, Y., et al. (2020) · Science · doi:10.1126/science.abe8770 · Cited by 2,405
Dipole Blockade and Quantum Information Processing in Mesoscopic Atomic Ensembles
Lukin, M. D., Fleischhauer, M., Côté, R., Duan, L.-M., Jaksch, D., Cirac, J. I., & Zoller, P. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.037901 · Cited by 1,657
Self-citationFast Quantum Gates for Neutral Atoms
Jaksch, D., Cirac, J. I., Zoller, P., Rolston, S. L., Côté, R., & Lukin, M. D. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.2208 · Cited by 1,540
Self-citation
Research works printed but not linked: 3
- Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1411.4028 (2014). · arXiv
- Zhou, L., Wang, S.-T., Choi, S., Pichler, H. & Lukin, M. D. Quantum approximate optimization algorithm: performance, mechanism, and implementation on near-term devices. Phys. Rev. X 10, 021067 (2020).
- Fishman, M., White, S. R. & Stoudenmire, E. M. The ITensor software library for tensor network calculations. Preprint at https://arxiv.org/abs/2007.14822 (2020). · arXiv
Cited by
Sorted by citations
Noisy intermediate-scale quantum algorithms
Bharti, K., Cervera-Lierta, A., Kyaw, T. H., Haug, T., Alperin-Lea, S., Anand, A., Degroote, M., Heimonen, H., Kottmann, J. S., Menke, T., et al. (2022) · Reviews of Modern Physics · doi:10.1103/revmodphys.94.015004 · Cited by 2,231
Logical quantum processor based on reconfigurable atom arrays
Bluvstein, D., Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., et al. (2024) · Nature · doi:10.1038/s41586-023-06927-3 · Cited by 1,119
“We choose our entangling-zone profile, realized by 420-nm and 1,013-nm Rydberg ‘top-hat’ beams generated by SLM phase profiles 30 , to be homogeneous over a 35-μm-tall region.”
BackgroundMethodInfluentialSelf-citationThe Variational Quantum Eigensolver: A review of methods and best practices
Tilly, J., Chen, H., Cao, S., Picozzi, D., Setia, K., Li, Y., Grant, E., Wossnig, L., Rungger, I., Booth, G. H., et al. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.08.003 · Cited by 1,031
Probing topological spin liquids on a programmable quantum simulator
Semeghini, G., Levine, H., Keesling, A., Ebadi, S., Wang, T. T., Bluvstein, D., Verresen, R., Pichler, H., Kalinowski, M., Samajdar, R., et al. (2021) · Science · doi:10.1126/science.abi8794 · Cited by 781
Self-citationQuantum simulation of 2D antiferromagnets with hundreds of Rydberg atoms
Scholl, P., Schuler, M., Williams, H. J., Eberharter, A. A., Barredo, D., Schymik, K.-N., Lienhard, V., Henry, L.-P., Lang, T. C., Lahaye, T., et al. (2021) · Nature · doi:10.1038/s41586-021-03585-1 · Cited by 688
Cai, Z., Babbush, R., Benjamin, S. C., Endo, S., Huggins, W. J., Li, Y., McClean, J. R., & O’Brien, T. E. (2023) · Reviews of Modern Physics · doi:10.1103/revmodphys.95.045005 · Cited by 847
“…it has become routine to see reports of experiments demonstrating high-quality control over multiple qubits [see e.g. Asavanant et al. (2019); Ebadi et al. (2021); Jurcevic et al. (2021); Madjarov et al. (2020); and Xue et al. (2022)], some even reaching beyond 50 qubits [see e.g. Arute et…”
BackgroundMulti-qubit entanglement and algorithms on a neutral-atom quantum computer
Graham, T. M., Song, Y., Scott, J., Poole, C., Phuttitarn, L., Jooya, K., Eichler, P., Jiang, X., Marra, A., Grinkemeyer, B., et al. (2022) · Nature · doi:10.1038/s41586-022-04603-6 · Cited by 518
High-fidelity parallel entangling gates on a neutral-atom quantum computer
Evered, S. J., Bluvstein, D., Kalinowski, M., Ebadi, S., Manovitz, T., Zhou, H., Li, S. H., Geim, A. A., Wang, T. T., Maskara, N., et al. (2023) · Nature · doi:10.1038/s41586-023-06481-y · Cited by 522
Self-citationQuantum optimization of maximum independent set using Rydberg atom arrays
Ebadi, S., Keesling, A., Cain, M., Wang, T. T., Levine, H., Bluvstein, D., Semeghini, G., Omran, A., Liu, J.-G., Samajdar, R., et al. (2022) · Science · doi:10.1126/science.abo6587 · Cited by 430
“1 Hardware-e cient encoding of the Maximum Independent Set problem Our experiments are performed on the 2D Rydberg programmable quantum simulator described previously in [26].”
MethodSelf-citationControlling quantum many-body dynamics in driven Rydberg atom arrays
Bluvstein, D., Omran, A., Levine, H., Keesling, A., Semeghini, G., Ebadi, S., Wang, T. T., Michailidis, A. A., Maskara, N., Ho, W. W., et al. (2021) · Science · doi:10.1126/science.abg2530 · Cited by 433
Self-citationDipolar physics: a review of experiments with magnetic quantum gases
Chomaz, L., Ferrier-Barbut, I., Ferlaino, F., Laburthe-Tolra, B., Lev, B., & Pfau, T. (2022) · Reports on Progress in Physics · doi:10.1088/1361-6633/aca814 · Cited by 449
Quantum science with optical tweezer arrays of ultracold atoms and molecules
Kaufman, A. M., & Ni, K.-K. (2021) · Nature Physics · doi:10.1038/s41567-021-01357-2 · Cited by 403
Waveguide quantum electrodynamics: Collective radiance and photon-photon correlations
Sheremet, A. S., Petrov, M. I., Iorsh, I. V., Poshakinskiy, A. V., & Poddubny, A. N. (2023) · Reviews of Modern Physics · doi:10.1103/revmodphys.95.015002 · Cited by 395
Quantum annealing for industry applications: introduction and review
Yarkoni, S., Raponi, E., Bäck, T., & Schmitt, S. (2022) · Reports on Progress in Physics · doi:10.1088/1361-6633/ac8c54 · Cited by 341
Long-range interacting quantum systems
Defenu, N., Donner, T., Macrì, T., Pagano, G., Ruffo, S., & Trombettoni, A. (2023) · Reviews of Modern Physics · doi:10.1103/revmodphys.95.035002 · Cited by 394
Progress in quantum teleportation
Hu, X., Guo, Y., Liu, B., Li, C., & Guo, G. (2023) · Nature Reviews Physics · doi:10.1038/s42254-023-00588-x · Cited by 293
Provably efficient machine learning for quantum many-body problems
Huang, H.-Y., Kueng, R., Torlai, G., Albert, V. V., & Preskill, J. P. (2022) · Science · doi:10.1126/science.abk3333 · Cited by 312
High-fidelity gates and mid-circuit erasure conversion in an atomic qubit
Ma, S., Liu, G., Peng, P., Zhang, B., Jandura, S., Claes, J., Burgers, A. P., Pupillo, G., Puri, S., & Thompson, J. D. (2023) · Nature · doi:10.1038/s41586-023-06438-1 · Cited by 228
“Neutral atom qubits have progressed rapidly in recent years, demonstrating programmable processors 1,2 and quantum simulators with scaling to hundreds of atoms 3,4 .”
BackgroundErasure conversion for fault-tolerant quantum computing in alkaline earth Rydberg atom arrays
Wu, Y., Kolkowitz, S., Puri, S., & Thompson, J. D. (2022) · Nature Communications · doi:10.1038/s41467-022-32094-6 · Cited by 232
Symmetry-resolved entanglement detection using partial transpose moments
Neven, A., Carrasco, J. A., Vitale, V., Kokail, C., Elben, A., Dalmonte, M., Calabrese, P., Zoller, P., Vermersch, B., Kueng, R., et al. (2021) · npj Quantum Information · doi:10.1038/s41534-021-00487-y · Cited by 209
Continuous symmetry breaking in a two-dimensional Rydberg array
Chen, C., Bornet, G., Bintz, M., Emperauger, G., Leclerc, L., Liu, V. S., Scholl, P., Barredo, D., Hauschild, J., Chatterjee, S., et al. (2023) · Nature · doi:10.1038/s41586-023-05859-2 · Cited by 217
“This is similar to what is done in Rydberg quantum simulations of the twodimensional Ising model [8, 9, 59], and was used in a prior experiment to prepare the topological ground state of a onedimensional XY model [60].”
MethodQuantum phases of Rydberg atoms on a kagome lattice
Samajdar, R., Ho, W. W., Pichler, H., Lukin, M. D., & Subir Sachdev, A. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015785118 · Cited by 208
Self-citationOptimal metrology with programmable quantum sensors
Marciniak, C. D., Feldker, T., Pogorelov, I., Kaubruegger, R., Vasilyev, D. V., van Bijnen, R., Schindler, P., Zoller, P., Blatt, R., & Monz, T. (2022) · Nature · doi:10.1038/s41586-022-04435-4 · Cited by 205
Theory of overparametrization in quantum neural networks
Larocca, M., Ju, N., García-Martín, D., Coles, P. J., & Cerezo, M. (2023) · Nature Computational Science · doi:10.1038/s43588-023-00467-6 · Cited by 262
NISQ computing: where are we and where do we go?
Lau, J. W. Z., Lim, K. H., Shrotriya, H., & Kwek, L. C. (2022) · AAPPS bulletin · doi:10.1007/s43673-022-00058-z · Cited by 199
“This approach has found some success in analog quantum simulations for simulating many-body dynamics [238–242], with simulations of up to 256 atoms possible [243].”
MethodMicrowave Engineering of Programmable X X Z Hamiltonians in Arrays of Rydberg Atoms
Scholl, P., Williams, H. J., Bornet, G., Wallner, F., Barredo, D., Henriet, L., Signoles, A., Hainaut, C., Franz, T., Geier, S., et al. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.020303 · Cited by 200
Standard model physics and the digital quantum revolution: thoughts about the interface
Klco, N., Roggero, A., & A, M. J. S. (2022) · Reports on Progress in Physics · doi:10.1088/1361-6633/ac58a4 · Cited by 209
Gebhart, V., Santagati, R., Gentile, A. A., Gauger, E. M., Craig, D., Ares, N., Banchi, L., Marquardt, F., Pezzè, L., & Bonato, C. (2023) · Nature Reviews Physics · doi:10.1038/s42254-022-00552-1 · Cited by 190
“̇ ∑ ρ H ρ L ρL L L ρ = −i[ , ] + ( − { , }/2) , (5) j j j j j † †”
BackgroundInfluentialYtterbium Nuclear-Spin Qubits in an Optical Tweezer Array
Jenkins, A., Lis, J. W., Senoo, A., McGrew, W. F., & Kaufman, A. M. (2022) · Physical Review X · doi:10.1103/physrevx.12.021027 · Cited by 146
Computational advantage of quantum random sampling
Hangleiter, D., & Eisert, J. (2023) · Reviews of Modern Physics · doi:10.1103/revmodphys.95.035001 · Cited by 145
Tunable light-induced dipole-dipole interaction between optically levitated nanoparticles
Rieser, J., Ciampini, M. A., Rudolph, H., Kiesel, N., Hornberger, K., Stickler, B. A., Aspelmeyer, M., & Delić, U. (2022) · Science · doi:10.1126/science.abp9941 · Cited by 147
Erasure conversion in a high-fidelity Rydberg quantum simulator
Scholl, P., Shaw, A. L., Tsai, R. B.-S., Finkelstein, R., Choi, J., & Endres, M. (2023) · Nature · doi:10.1038/s41586-023-06516-4 · Cited by 164
“First, our two-qubit entanglement fidelity values and associated error modelling imply that Rydberg arrays, which have already demonstrated scalability to hundreds of atoms 5,6 , can be simultaneously equipped with high-fidelity two-qubit operations, a unique combination across all platforms.”
BackgroundBeyond-classical computation in quantum simulation
King, A. D., Nocera, A., Rams, M. M., Dziarmaga, J., Wiersema, R., Bernoudy, W., Raymond, J., Kaushal, N., Heinsdorf, N., Harris, R., et al. (2025) · Science · doi:10.1126/science.ado6285 · Cited by 138
Hardware Efficient Quantum Simulation of Non-Abelian Gauge Theories with Qudits on Rydberg Platforms
González-Cuadra, D., Zache, T. V., Carrasco, J. A., Kraus, B., & Zoller, P. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.160501 · Cited by 133
Noisy intermediate-scale quantum computers
Cheng, B., Deng, X., Gu, X. Q., He, Y., Hu, G., Huang, P., Li, J., Lin, B., Lu, D., Lu, Y., et al. (2023) · Frontiers of Physics · doi:10.1007/s11467-022-1249-z · Cited by 147
Sierant, P., Chiriacò, G., Surace, F. M., Sharma, S., Turkeshi, X., Dalmonte, M., Fazio, R., & Pagano, G. (2022) · Quantum · doi:10.22331/q-2022-02-02-638 · Cited by 132
Quantum Computing and Simulations for Energy Applications: Review and Perspective
Paudel, H. P., Syamlal, M., Crawford, S. E., Lee, Y., Shugayev, R., Lu, P., Ohodnicki, P. R., Mollot, D., & Duan, Y. (2022) · ACS Engineering Au · doi:10.1021/acsengineeringau.1c00033 · Cited by 153
Ultrafast energy exchange between two single Rydberg atoms on a nanosecond timescale
Chew, Y., Tomita, T., Mahesh, T. P., Sugawa, S., de Léséleuc, S., & Ohmori, K. (2022) · Nature Photonics · doi:10.1038/s41566-022-01047-2 · Cited by 113
A tweezer array with 6,100 highly coherent atomic qubits
Manetsch, H. J., Nomura, G., Bataille, E., Lv, X., Leung, K. H., & Endres, M. (2025) · Nature · doi:10.1038/s41586-025-09641-4 · Cited by 264
“7, 8 and 10 are not corrected for state preparation and measurement (SPAM) errors.”
Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg Atoms
Cong, I., Levine, H., Keesling, A., Bluvstein, D., Wang, S.-T., & Lukin, M. D. (2022) · Physical Review X · doi:10.1103/physrevx.12.021049 · Cited by 144
Self-citationUniversal Gate Operations on Nuclear Spin Qubits in an Optical Tweezer Array of Yb 171 Atoms
Ma, S., Burgers, A. P., Liu, G., Wilson, J., Zhang, B., & Thompson, J. D. (2022) · Physical Review X · doi:10.1103/physrevx.12.021028 · Cited by 135
Assembly and coherent control of a register of nuclear spin qubits
Barnes, K., Battaglino, P., Bloom, B. J., Cassella, K., Coxe, R., Crisosto, N., King, J. P., Kondov, S. S., Kotru, K., Larsen, S. C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29977-z · Cited by 117
Turbulence theories and statistical closure approaches
Zhou, Y. (2021) · Physics Reports · doi:10.1016/j.physrep.2021.07.001 · Cited by 126
Universal Behavior beyond Multifractality of Wave Functions at Measurement-Induced Phase Transitions
Sierant, P., & Turkeshi, X. (2022) · Physical Review Letters · doi:10.1103/physrevlett.128.130605 · Cited by 120
Quantum Optimization with Arbitrary Connectivity Using Rydberg Atom Arrays
Nguyen, M.-T., Liu, J.-G., Wurtz, J., Lukin, M. D., Wang, S.-T., & Pichler, H. (2023) · PRX Quantum · doi:10.1103/prxquantum.4.010316 · Cited by 123
“In these systems, atoms can be deterministically placed at programmable positions in two dimensions [10, 26, 27].”
BackgroundSelf-citationQuantum networks with neutral atom processing nodes
Covey, J. P., Weinfurter, H., & Bernien, H. (2023) · npj Quantum Information · doi:10.1038/s41534-023-00759-9 · Cited by 142
Entanglement transport and a nanophotonic interface for atoms in optical tweezers
Đorđević, T., Samutpraphoot, P., Ocola, P. L., Bernien, H., Grinkemeyer, B., Dimitrova, I., Vuletić, V., & Lukin, M. D. (2021) · Science · doi:10.1126/science.abi9917 · Cited by 129
Self-citationNeutral 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
“The life-time of an atom in such a microtrap is mostly limited by the residual vacuum pressure and typically lies in the range of 10–20 s [29, 30].”
BackgroundLong-lived Bell states in an array of optical clock qubits
Schine, N., Young, A. W., Eckner, W. J., Martin, M. J., & Kaufman, A. M. (2022) · Nature Physics · doi:10.1038/s41567-022-01678-w · Cited by 108
A full degree-of-freedom spatiotemporal light modulator
Panuski, C., Christen, I., Minkov, M., Brabec, C., Trajtenberg‐Mills, S., Griffiths, A. D., McKendry, J. J. D., Leake, G., Coleman, D. J., Tran, C., et al. (2022) · Nature Photonics · doi:10.1038/s41566-022-01086-9 · Cited by 114
“Programmable optical transformations are of fundamental importance across science and engineering, from adaptive optics in astronomy 1 and neuroscience 2,3 to dynamic matrix operations in machine learning 4–6 and quantum computing 7,8 .”
BackgroundA superconducting quantum simulator based on a photonic-bandgap metamaterial
Zhang, X., Kim, E., Mark, D. K., Choi, S., & Painter, O. J. (2023) · Science · doi:10.1126/science.ade7651 · Cited by 118
Self-citationDual-Element, Two-Dimensional Atom Array with Continuous-Mode Operation
Singh, K., Anand, S., Pocklington, A., Kemp, J., & Bernien, H. (2022) · Physical Review X · doi:10.1103/physrevx.12.011040 · Cited by 126
Realizing topological edge states with Rydberg-atom synthetic dimensions
Kanungo, S. K., Whalen, J. D., Lu, Y., Yuan, M., Dasgupta, S., Dunning, F. B., Hazzard, K. R. A., & Killian, T. C. (2022) · Nature Communications · doi:10.1038/s41467-022-28550-y · Cited by 115
Stable quantum-correlated many-body states through engineered dissipation
Mi, X., Michailidis, A. A., Shabani, S., Miao, K. C., Klimov, P. V., Lloyd, J., Rosenberg, E. N., Acharya, R., Aleǐner, I. L., Andersen, T. I., et al. (2024) · Science · doi:10.1126/science.adh9932 · Cited by 138
A site-resolved two-dimensional quantum simulator with hundreds of trapped ions
Guo, S., Wu, Y., Ye, J., Zhang, L., Lian, W., Yao, R., Wang, Y., Yan, R., Yi, Y.-J., Xu, Y., et al. (2024) · Nature · doi:10.1038/s41586-024-07459-0 · Cited by 121
“We choose a typical cooling rate γ ≈ 8 × 10 3 s − 1 for a cooling laser with a saturation parameter s = 1 and detuning ∆ = − Γ / 2 at equal angle to the three principal axes [9]. is As we show in Fig.”
Quantum phase transition dynamics in the two-dimensional transverse-field Ising model
Schmitt, M., Rams, M. M., Dziarmaga, J., Heyl, M., & Zurek, W. H. (2022) · Science Advances · doi:10.1126/sciadv.abl6850 · Cited by 99
“In this context, it is important to emphasize that the recent experiments have demonstrated already long coherence times, such as to observe the QKZM in one dimension [42] and close-to-adiabatic preparation of symmetrybroken low-energy states [56, 57].”
BackgroundMethodInfluentialDipolar quantum solids emerging in a Hubbard quantum simulator
Su, L., Douglas, A., Szurek, M., Groth, R., Ozturk, S., Krahn, A., Hébert, A. H., Phelps, G., Ebadi, S., Dickerson, S. M., et al. (2023) · Nature · doi:10.1038/s41586-023-06614-3 · Cited by 122
Self-citationNishimori’s Cat: Stable Long-Range Entanglement from Finite-Depth Unitaries and Weak Measurements
Zhu, G., Tantivasadakarn, N., Vishwanath, A., Trebst, S., & Verresen, R. (2023) · Physical Review Letters · doi:10.1103/physrevlett.131.200201 · Cited by 108
Classical shadow tomography with locally scrambled quantum dynamics
Hu, H.-Y., Choi, S., & You, Y. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.023027 · Cited by 93
“In particular, for programmable quantum simulators of large systems based on trapped ions or Rydberg atom systems,[11–13] a certain set of entangling unitary evolution is much more favorable to implement than typical random unitaries that require fine-tuned control.”
Self-citationAnand, S., Bradley, C. E., White, R., Ramesh, V., Singh, K., & Bernien, H. (2024) · Nature Physics · doi:10.1038/s41567-024-02638-2 · Cited by 112
“The scalability of optical tweezer technologies has enabled systems of hundreds to thousands of atomic qubits [1, 2, 9–11], while the development of efficient control schemes based on off-the-shelf optical components has led to the implementation of increasingly complex Hamiltonians and circuits…”
InfluentialError budgeting for a controlled-phase gate with strontium-88 Rydberg atoms
Pagano, A., Weber, S., Jaschke, D., Pfau, T., Meinert, F., Montangero, S., & Büchler, H. P. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.033019 · Cited by 85
“In addition, the ability to scale the number of trapped atoms up to several hundred in such arrays has been demonstrated [1, 2].”
BackgroundTweezer-programmable 2D quantum walks in a Hubbard-regime lattice
Young, A. W., Eckner, W. J., Schine, N., Childs, A. M., & Kaufman, A. M. (2022) · Science · doi:10.1126/science.abo0608 · Cited by 98
Marino, J., Eckstein, M., Foster, M. S., & Rey, A. M. (2022) · Reports on Progress in Physics · doi:10.1088/1361-6633/ac906c · Cited by 86
“For instance, Rydberg simulators have been recently shown to be capable to access long-lived athermal states beyond the conventional pre-thermal paradigm [306, 307], referred to as quantum scars [308] and defying the eigenstate thermalization hypothesis.”
Fermionic quantum processing with programmable neutral atom arrays
González-Cuadra, D., Bluvstein, D., Kalinowski, M., Kaubruegger, R., Maskara, N., Naldesi, P., Zache, T. V., Kaufman, A. M., Lukin, M. D., Pichler, H., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304294120 · Cited by 104
Self-citationRealization of a Fermi-Hubbard Optical Tweezer Array
Spar, B. M., Guardado-Sanchez, E., Chi, S., Yan, Z. Z., & Bakr, W. (2022) · Physical Review Letters · doi:10.1103/physrevlett.128.223202 · Cited by 87
Localized magnetic field in the O(N) model
Cuomo, G., Komargodski, Z., & Mezei, M. (2022) · Journal of High Energy Physics · doi:10.1007/jhep02(2022)134 · Cited by 81
“The N = 1 (Ising) quantum critical point has also been recently realized in a large-scale programmable quantum simulator made of neutral atoms [15].”
BackgroundTitanium:sapphire-on-insulator integrated lasers and amplifiers
Yang, J. S., Gasse, K. V., Lukin, D. M., Guidry, M. A., Ahn, G. H., White, A. D., & Vučković, J. (2024) · Nature · doi:10.1038/s41586-024-07457-2 · Cited by 89
“Consequently, mode-locked and continuous-wave Ti:sapphire lasers are unmatched in performance and are essential in disciplines such as quantum optics and atomic physics 3,4,13,14 .”
BackgroundIterative Assembly of 171 Yb Atom Arrays with Cavity-Enhanced Optical Lattices
Norcia, M. A., Kim, H., Cairncross, W. B., Stone, M. B., Ryou, A., Jaffe, M., Brown, M. O., Barnes, K., Battaglino, P., Bohdanowicz, T. C., et al. (2024) · PRX Quantum · doi:10.1103/prxquantum.5.030316 · Cited by 109
Midcircuit Qubit Measurement and Rearrangement in a Yb 171 Atomic Array
Norcia, M. A., Cairncross, W. B., Barnes, K., Battaglino, P., Brown, A., Brown, M. O., Cassella, K., Chen, C.-A., Coxe, R., Crow, D., et al. (2023) · Physical Review X · doi:10.1103/physrevx.13.041034 · Cited by 78
Rydberg quantum wires for maximum independent set problems
Kim, M., Kim, K., Hwang, J., Moon, E.-G., & Ahn, J. (2022) · Nature Physics · doi:10.1038/s41567-022-01629-5 · Cited by 84
The critical O(N) CFT: Methods and conformal data
Henriksson, J. (2022) · Physics Reports · doi:10.1016/j.physrep.2022.12.002 · Cited by 109
Quantum algorithms for quantum dynamics
Miessen, A., Ollitrault, P. J., Tacchino, F., & Tavernelli, I. (2022) · Nature Computational Science · doi:10.1038/s43588-022-00374-2 · Cited by 90
“Lastly, it is worthwhile mentioning that analog quantum simulation platforms represent an interesting alternative to achieve impactful results in the near future 109,110,228,229 .”
BackgroundMethodQuantum logic and entanglement by neutral Rydberg atoms: methods and fidelity
Shi, X. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/ac18b8 · Cited by 81
“9992; 30 μs [38] (Bell states) Neutral atoms 209 [63]; 219 [64]; 256 [65] 7 s [66]; 48 s [67] 0.”
Defect-Free Arbitrary-Geometry Assembly of Mixed-Species Atom Arrays
Sheng, C., Hou, J., He, X., Wang, K., Guo, R., Zhuang, J., Mamat, B., Xu, P., Liu, M., Wang, J., et al. (2022) · Physical Review Letters · doi:10.1103/physrevlett.128.083202 · Cited by 80
“But such a moving way is typically required for scaling up compact tweezer arrays [7,48,51].”
BackgroundFu, Z., Xu, P., Sun, Y., Liu, Y., He, X., Li, X., Liu, M., Li, R., Wang, J., Liu, L., et al. (2022) · Physical Review A · doi:10.1103/physreva.105.042430 · Cited by 75
Liu, Y., Wang, Z., Yang, P., Wang, Q., Fan, Q., Guan, S.-J., Li, G., Zhang, P., & Zhang, T. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.173601 · Cited by 84
Continuous operation of large-scale atom arrays in optical lattices
Gyger, F., Ammenwerth, M., Tao, R., Timme, H., Snigirev, S., Bloch, I., & Zeiher, J. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.033104 · Cited by 99
“This duration could be drastically reduced by implementing a more complex parallel resorting scheme [8, 14, 38, 39].”
BackgroundSupercharged two-dimensional tweezer array with more than 1000 atomic qubits
Pause, L., Sturm, L., Mittenbühler, M., Amann, S., Preuschoff, T., Schaffner, D., Schlosser, M., & Birkl, G. (2023) · Optica · doi:10.1364/optica.513551 · Cited by 77
“Present implementations of optical tweezers created by spatial light modulators reach 1000 sites [8] and assemble target geometries of 324 qubits [9].”
BackgroundDispersive optical systems for scalable Raman driving of hyperfine qubits
Levine, H., Bluvstein, D., Keesling, A., Wang, T. T., Ebadi, S., Semeghini, G., Omran, A., Greiner, M., Vuletić, V., & Lukin, M. D. (2022) · Physical Review A · doi:10.1103/physreva.105.032618 · Cited by 66
Self-citationThermalization and criticality on an analogue–digital quantum simulator
Andersen, T. I., Astrakhantsev, N., Karamlou, A. H., Berndtsson, J., Motruk, J., Szasz, A., Gross, J. A., Schuckert, A., Westerhout, T., Zhang, Y., et al. (2025) · Nature · doi:10.1038/s41586-024-08460-3 · Cited by 105
“3,23–25).”
Entanglement generation in (1+1)D QED scattering processes
Rigobello, M., Notarnicola, S., Magnifico, G., & Montangero, S. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.114501 · Cited by 85
Single Atoms with 6000-Second Trapping Lifetimes in Optical-Tweezer Arrays at Cryogenic Temperatures
Schymik, K.-N., Pancaldi, S., Nogrette, F., Barredo, D., Paris, J., Browaeys, A., & Lahaye, T. (2021) · Physical Review Applied · doi:10.1103/physrevapplied.16.034013 · Cited by 53
Carbon Nanotube Devices for Quantum Technology
Baydin, A., Tay, F., Fan, J., Manjappa, M., Gao, W., & Kono, J. (2022) · Materials · doi:10.3390/ma15041535 · Cited by 67
Pulser: An open-source package for the design of pulse sequences in programmable neutral-atom arrays
Silvério, H., Grijalva, S., Dalyac, C., Leclerc, L., Karalekas, P. J., Shammah, N., Beji, M., Henry, L.-P., & Henriet, L. (2022) · Quantum · doi:10.22331/q-2022-01-24-629 · Cited by 83
“This holds great promises for the implementation of graph-related algorithms [46, 47, 53–55], the exploration of lattice models in condensed-matter physics [18, 43, 44], or the reduction of the gatecount for quantum circuits [7].”
BackgroundJnane, H., Undseth, B., Cai, Z., Benjamin, S. C., & Koczor, B. (2022) · Physical Review Applied · doi:10.1103/physrevapplied.18.044064 · Cited by 71
Ultracold chemistry as a testbed for few-body physics
Karman, T., Tomza, M., & Pérez‐Ríos, J. (2024) · Nature Physics · doi:10.1038/s41567-024-02467-3 · Cited by 62
“Trapped ions 8 and Rydberg atoms 9,10 have been shown to have potential as platforms for quantum computing.”
From architectures to applications: a review of neural quantum states
Lange, H., de Walle, A. V., Abedinnia, A., & Bohrdt, A. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad7168 · Cited by 110
Observation of string breaking on a (2 + 1)D Rydberg quantum simulator
González-Cuadra, D., Hamdan, M., Zache, T. V., Braverman, B., Kornjača, M., Lukin, A., Cantu, S., Liu, F., Wang, S.-T., Keesling, A., et al. (2025) · Nature · doi:10.1038/s41586-025-09051-6 · Cited by 118
Self-citationShao, X., Su, S., Li, L., Nath, R., Wu, J., & Li, W. (2024) · Applied Physics Reviews · doi:10.1063/5.0211071 · Cited by 63
Benchmarking highly entangled states on a 60-atom analogue quantum simulator
Shaw, A. L., Chen, Z., Choi, J., Mark, D. K., Scholl, P., Finkelstein, R., Elben, A., Choi, S., & Endres, M. (2024) · Nature · doi:10.1038/s41586-024-07173-x · Cited by 64
Self-citationNon-Abelian Floquet Spin Liquids in a Digital Rydberg Simulator
Kalinowski, M., Maskara, N., & Lukin, M. D. (2023) · Physical Review X · doi:10.1103/physrevx.13.031008 · Cited by 67
“Ising [7, 9] and XXZ [34] Hamiltonians, using programmable, fixed atom geometry.”
MethodSelf-citationQuantum coarsening and collective dynamics on a programmable simulator
Manovitz, T., Li, S. H., Ebadi, S., Samajdar, R., Geim, A. A., Evered, S. J., Bluvstein, D., Zhou, H., Köylüoğlu, N. U., Feldmeier, J., et al. (2025) · Nature · doi:10.1038/s41586-024-08353-5 · Cited by 82
“11,40.”
InfluentialSelf-citationSymmetries and conserved quantities of boundary time crystals in generalized spin models
Piccitto, G., Wauters, M. M., Nori, F., & Shammah, N. (2021) · Physical review. B./Physical review. B · doi:10.1103/physrevb.104.014307 · Cited by 57
Emergent Z 2 Gauge Theories and Topological Excitations in Rydberg Atom Arrays
Samajdar, R., Joshi, D. G., Teng, Y., & Subir Sachdev, A. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.043601 · Cited by 69
Self-citationHigh-Fidelity Detection of Large-Scale Atom Arrays in an Optical Lattice
Tao, R., Ammenwerth, M., Gyger, F., Bloch, I., & Zeiher, J. (2024) · Physical Review Letters · doi:10.1103/physrevlett.133.013401 · Cited by 70
“…the power-intensive imaging step from preparation and physics in optical tweezer arrays, with potential applications in quantum simulation of Ising models [34, 35, 49, 50], lattice gauge theories [51], quantum chemistry [52], or quantum-enhanced metrology [15, 40, 53, 54] in scalable ensembles.”
BackgroundMethodInfluentialQuantum Variational Learning of the Entanglement Hamiltonian
Kokail, C., Sundar, B., Zache, T. V., Elben, A., Vermersch, B., Dalmonte, M., van Bijnen, R., & Zoller, P. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.170501 · Cited by 56
Classical shadows for quantum process tomography on near-term quantum computers
Levy, R., Luo, D., & Clark, B. K. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.013029 · Cited by 94
Scalable all-optical cold damping of levitated nanoparticles
Vijayan, J., Zhang, Z., Piotrowski, J., Windey, D., van der Laan, F., Frimmer, M., & Novotný, L. (2022) · Nature Nanotechnology · doi:10.1038/s41565-022-01254-6 · Cited by 59
Analytic approaches to periodically driven closed quantum systems: methods and applications
Sen, A., Sen, D., & Sengupta, K. (2021) · Journal of Physics Condensed Matter · doi:10.1088/1361-648x/ac1b61 · Cited by 65
2023 roadmap for materials for quantum technologies
Becher, C., Gao, W., Kar, S., Marciniak, C. D., Monz, T., Bartholomew, J. G., Goldner, P., Loh, H., Marcellina, E., Goh, K. E. J., et al. (2022) · Materials for Quantum Technology · doi:10.1088/2633-4356/aca3f2 · Cited by 63
Metadata
- Authors
- Ebadi, S., Wang, T. T., Levine, H., Keesling, A., Semeghini, G., Omran, A., Bluvstein, D., Samajdar, R., Pichler, H., Ho, W. W., Choi, S., Sachdev, S., Greiner, M., Vuletić, V., & Lukin, M. D.
- Affiliations
- Harvard University (US)
- Austrian Academy of Sciences (AT)
- University of California, Berkeley (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Lukin, Mikhail D.
- ORCID
- Venue
- Nature
- Published
- 2021-07-07
- Volume
- 595
- Issue
- 7866
- Pages
- 227-232
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3117469420
- Semantic Scholar
- 8466edf6fcdb2b524b0aec25107963c04f785de5
- Cited by
- 995
- References
- 76
- Citations by year
- 2026: 126 · 2025: 232 · 2024: 215 · 2023: 192 · 2022: 191 · 2021: 39
- FWCI
- 69.52
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- U.S. Department of Energy (DESC0021013, DESC0019030)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Keywords
- Rydberg atoms, optical tweezer arrays, neutral atom arrays, quantum spin systems, antiferromagnetic ordering, quantum critical dynamics, quantum phase diagram, quantum fluctuations, strongly correlated quantum matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review