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-citationQuantum simulations with ultracold atoms in optical lattices
Gross, C., & Bloch, I. (2017) · Science · doi:10.1126/science.aal3837 · Cited by 1,527
Many-body physics with individually controlled Rydberg atoms
Browaeys, A., & Lahaye, T. (2020) · Nature Physics · doi:10.1038/s41567-019-0733-z · Cited by 1,356
Predicting many properties of a quantum system from very few measurements
Huang, H.-Y., Kueng, R., & Preskill, J. (2020) · Nature Physics · doi:10.1038/s41567-020-0932-7 · Cited by 1,240
Observation 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
Weak ergodicity breaking from quantum many-body scars
Turner, C. J., Michailidis, A. A., Abanin, D. A., Serbyn, M., & Papić, Z. (2018) · Nature Physics · doi:10.1038/s41567-018-0137-5 · Cited by 1,056
Exploring the many-body localization transition in two dimensions
Choi, J.-Y., Hild, S., Zeiher, J., Schauß, P., Rubio-Abadal, A., Yefsah, T., Khemani, V., Huse, D. A., Bloch, I., & Gross, C. (2016) · Science · doi:10.1126/science.aaf8834 · Cited by 979
An atom-by-atom assembler of defect-free arbitrary two-dimensional atomic arrays
Barredo, D., de Léséleuc, S., Lienhard, V., Lahaye, T., & Browaeys, A. (2016) · Science · doi:10.1126/science.aah3778 · Cited by 920
Weimer, H., Müller, M., Lesanovsky, I., Zoller, P., & Büchler, H. P. (2010) · Nature Physics · doi:10.1038/nphys1614 · Cited by 867
Atom-by-atom assembly of defect-free one-dimensional cold atom arrays
Endres, M., Bernien, H., Keesling, A., Levine, H., Anschuetz, E. R., Krajenbrink, A., Senko, C., Vuletic, V., Greiner, M., & Lukin, M. D. (2016) · Science · doi:10.1126/science.aah3752 · Cited by 863
Self-citationDynamics of a Quantum Phase Transition
Zurek, W. H., Dorner, U., & Zoller, P. (2005) · Physical Review Letters · doi:10.1103/physrevlett.95.105701 · Cited by 812
A cold-atom Fermi–Hubbard antiferromagnet
Mazurenko, A., Chiu, C., Ji, G., Parsons, M. F., Kanász-Nagy, M., Schmidt, R., Grusdt, F., Demler, E., Greif, D., & Greiner, M. (2017) · Nature · doi:10.1038/nature22362 · Cited by 788
Self-citationTunable two-dimensional arrays of single Rydberg atoms for realizing quantum Ising models
Labuhn, H., Barredo, D., Ravets, S., de Léséleuc, S., Macrì, T., Lahaye, T., & Browaeys, A. (2016) · Nature · doi:10.1038/nature18274 · Cited by 765
Quantum 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
Generation and manipulation of Schrödinger cat states in Rydberg atom arrays
Omran, A., Levine, H., Keesling, A., Semeghini, G., Wang, T. T., Ebadi, S., Bernien, H., Zibrov, A. S., Pichler, H., Choi, S., et al. (2019) · Science · doi:10.1126/science.aax9743 · Cited by 633
Self-citationParallel Implementation of High-Fidelity Multiqubit Gates with Neutral Atoms
Levine, H., Keesling, A., Semeghini, G., Omran, A., Wang, T. T., Ebadi, S., Bernien, H., Greiner, M., Vuletić, V., Pichler, H., et al. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.170503 · Cited by 604
Self-citationObservation of a symmetry-protected topological phase of interacting bosons with Rydberg atoms
de Léséleuc, S., Lienhard, V., Scholl, P., Barredo, D., Weber, S., Lang, N., Büchler, H. P., Lahaye, T., & Browaeys, A. (2019) · Science · doi:10.1126/science.aav9105 · Cited by 598
Simulating lattice gauge theories within quantum technologies
Bañuls, M. C., Blatt, R., Catani, J., Celi, A., Cirac, J. I., Dalmonte, M., Fallani, L., Jansen, K., Lewenstein, M., Montangero, S., et al. (2020) · The European Physical Journal D · doi:10.1140/epjd/e2020-100571-8 · Cited by 570
Synthetic three-dimensional atomic structures assembled atom by atom
Barredo, D., Lienhard, V., de Léséleuc, S., Lahaye, T., & Browaeys, A. (2018) · Nature · doi:10.1038/s41586-018-0450-2 · Cited by 562
Quantum Kibble–Zurek mechanism and critical dynamics on a programmable Rydberg simulator
Keesling, A., Omran, A., Levine, H., Bernien, H., Pichler, H., Choi, S., Samajdar, R., Schwartz, S., Silvi, P., Sachdev, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1070-1 · Cited by 534
Self-citationStudying Two-Dimensional Systems with the Density Matrix Renormalization Group
Stoudenmire, E. M., & White, S. R. (2012) · Annual Review of Condensed Matter Physics · doi:10.1146/annurev-conmatphys-020911-125018 · Cited by 451
High-Fidelity Control and Entanglement of Rydberg-Atom Qubits
Levine, H., Keesling, A., Omran, A., Bernien, H., Schwartz, S., Zibrov, A. S., Endres, M., Greiner, M., Vuletić, V., & Lukin, M. D. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.123603 · Cited by 441
Self-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-citationHigh-fidelity entanglement and detection of alkaline-earth Rydberg atoms
Madjarov, I. S., Covey, J. P., Shaw, A. L., Choi, J., Kale, A., Cooper, A., Pichler, H., Schkolnik, V., Williams, J. R., & Endres, M. (2020) · Nature Physics · doi:10.1038/s41567-020-0903-z · Cited by 408
Self-citationBeterov, I. I., Ryabtsev, I. I., Tretyakov, D. B., & Entin, V. M. (2009) · Physical Review A · doi:10.1103/physreva.79.052504 · Cited by 392
Quantum simulation and computing with Rydberg-interacting qubits
Morgado, M., & Whitlock, S. (2021) · AVS Quantum Science · doi:10.1116/5.0036562 · Cited by 370
Observation of Entangled States of a Fully Controlled 20-Qubit System
Friis, N., Marty, O., Maier, C., Hempel, C., Holzäpfel, M., Jurcevic, P., Plenio, M. B., Huber, M., Roos, C., Blatt, R., et al. (2018) · Physical Review X · doi:10.1103/physrevx.8.021012 · Cited by 354
Lattice Gauge Theories and String Dynamics in Rydberg Atom Quantum Simulators
Surace, F. M., Mazza, P. P., Giudici, G., Lerose, A., Gambassi, A., & Dalmonte, M. (2020) · Physical Review X · doi:10.1103/physrevx.10.021041 · Cited by 346
The Theory of Boundary Critical Phenomena
Diehl, H. W. (1997) · International Journal of Modern Physics B · doi:10.1142/s0217979297001751 · Cited by 323
Controlling quantum many-body dynamics in driven Rydberg atom arraysPreprint
Bluvstein, D., Omran, A., Levine, H., Keesling, A., Semeghini, G., Ebadi, S., Wang, T., Michailidis, A., Maskara, N., Ho, W., et al. (2021) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 322
Self-citationAn optical tweezer array of ultracold molecules
Anderegg, L., Cheuk, L. W., Bao, Y., Burchesky, S., Ketterle, W., Ni, K.-K., & Doyle, J. M. (2019) · Science · doi:10.1126/science.aax1265 · Cited by 313
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
Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
Pagano, G., Bapat, A., Becker, P., Collins, K. S., De, A., Hess, P. W., Kaplan, H. B., Kyprianidis, A., Tan, W. L., Baldwin, C., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006373117 · Cited by 262
Phase transitions in a programmable quantum spin glass simulator
Harris, R., Sato, Y., Berkley, A. J., Reis, M., Altomare, F., Amin, M. H. S., Boothby, K., Bunyk, P., Deng, C., Enderud, C., et al. (2018) · Science · doi:10.1126/science.aat2025 · Cited by 257
Half-minute-scale atomic coherence and high relative stability in a tweezer clock
Young, A. W., Eckner, W. J., Milner, W. R., Kedar, D., Norcia, M. A., Oelker, E. G., Schine, N., Ye, J., & Kaufman, A. M. (2020) · Nature · doi:10.1038/s41586-020-3009-y · Cited by 226
Building one molecule from a reservoir of two atoms
Liu, L. R., Hood, J. D., Yu, Y., Zhang, J. T., Hutzler, N. R., Rosenband, T., & Ni, K.-K. (2018) · Science · doi:10.1126/science.aar7797 · Cited by 224
Prediction of Toric Code Topological Order from Rydberg Blockade
Verresen, R., Lukin, M. D., & Vishwanath, A. (2021) · Physical Review X · doi:10.1103/physrevx.11.031005 · Cited by 215
Self-citationLienhard, V., de Léséleuc, S., Barredo, D., Lahaye, T., Browaeys, A., Schuler, M., Henry, L.-P., & Läuchli, A. M. (2018) · Physical Review X · doi:10.1103/physrevx.8.021070 · Cited by 209
Probing the Quench Dynamics of Antiferromagnetic Correlations in a 2D Quantum Ising Spin System
Guardado-Sanchez, E., Brown, P. T., Mitra, D., Devakul, T., Huse, D. A., Schauß, P., & Bakr, W. (2018) · Physical Review X · doi:10.1103/physrevx.8.021069 · Cited by 209
Quantum 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-citationUltra-precise holographic beam shaping for microscopic quantum control
Zupancic, P., Preiss, P. M., Ma, R., Lukin, A., Tai, M. E., Rispoli, M., Islam, R., & Greiner, M. (2016) · Optics Express · doi:10.1364/oe.24.013881 · Cited by 175
Self-citationDefect-Free Assembly of 2D Clusters of More Than 100 Single-Atom Quantum Systems
de Mello, D. O., Schäffner, D., Werkmann, J., Preuschoff, T., Kohfahl, L., Schlosser, M., & Birkl, G. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.203601 · Cited by 173
A measure of data collapse for scaling
Bhattacharjee, S. M., & Seno, F. (2001) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/34/33/302 · Cited by 172
Narrow-Line Cooling and Imaging of Ytterbium Atoms in an Optical Tweezer Array
Saskin, S., Wilson, J. T., Grinkemeyer, B., & Thompson, J. D. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.143002 · Cited by 167
Sorting ultracold atoms in a three-dimensional optical lattice in a realization of Maxwell’s demon
Kumar, A., Wu, T.-Y., Giraldo, F., & Weiss, D. S. (2018) · Nature · doi:10.1038/s41586-018-0458-7 · Cited by 166
Efficient Multiphoton Sampling of Molecular Vibronic Spectra on a Superconducting Bosonic Processor
Wang, C. S., Curtis, J. C., Lester, B., Zhang, Y., Gao, Y. Y., Freeze, J. G., Batista, V. S., Vaccaro, P. H., Chuang, I. L., Frunzio, L., et al. (2020) · Physical Review X · doi:10.1103/physrevx.10.021060 · Cited by 157
An Atomic-Array Optical Clock with Single-Atom Readout
Madjarov, I. S., Cooper, A., Shaw, A. L., Covey, J. P., Schkolnik, V., Yoon, T. H., Williams, J. R., & Endres, M. (2019) · Physical Review X · doi:10.1103/physrevx.9.041052 · Cited by 155
Detailed Balance of Thermalization Dynamics in Rydberg-Atom Quantum Simulators
Kim, H., Park, Y., Kim, K., Sim, H.-S., & Ahn, J. (2018) · Physical Review Letters · doi:10.1103/physrevlett.120.180502 · Cited by 117
Gardas, B., Dziarmaga, J., Zurek, W. H., & Zwolak, M. (2018) · Scientific Reports · doi:10.1038/s41598-018-22763-2 · Cited by 100
Samajdar, R., Ho, W. W., Pichler, H., Lukin, M. D., & Subir Sachdev, A. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.103601 · Cited by 99
Self-citationLarge-scale uniform optical focus array generation with a phase spatial light modulator
Kim, D., Keesling, A., Omran, A., Levine, H., Bernien, H., Greiner, M., Lukin, M. D., & Englund, D. R. (2019) · Optics Letters · doi:10.1364/ol.44.003178 · Cited by 94
Self-citationEnhanced atom-by-atom assembly of arbitrary tweezer arrays
Schymik, K.-N., Lienhard, V., Barredo, D., Scholl, P., Williams, H., Browaeys, A., & Lahaye, T. (2020) · Physical Review A · doi:10.1103/physreva.102.063107 · Cited by 94
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. (2022) · Quantum Computing, Communication, and Simulation · doi:10.1117/12.2615077 · Cited by 84
Self-citationAccurately computing the electronic properties of a quantum ring
Neill, C., McCourt, T., Mi, X., Jiang, Z., Niu, M. Y., Mruczkiewicz, W., Aleǐner, I. L., Arute, F., Arya, K., Atalaya, J., et al. (2021) · RePEc: Research Papers in Economics · Cited by 60
Efficient Tensor Network Ansatz for High-Dimensional Quantum Many-Body Problems
Felser, T., Notarnicola, S., & Montangero, S. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.170603 · Cited by 59
Defect-free atomic array formation using the Hungarian matching algorithm
Lee, W., Kim, H., & Ahn, J. (2017) · Physical Review A · doi:10.1103/physreva.95.053424 · Cited by 54
Real-time-dynamics quantum simulation of ( 1 + 1 ) -dimensional lattice QED with Rydberg atoms
Notarnicola, S., Collura, M., & Montangero, S. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.013288 · Cited by 53
Bowman, D., Harte, T. L., Chardonnet, V., et al. (2017) · Optics Express · doi:10.1364/oe.25.011692 · Cited by 52
Blueprint for fault-tolerant quantum computation with Rydberg atoms
Auger, J. M., Bergamini, S., & Browne, D. E. (2017) · Physical Review A · doi:10.1103/physreva.96.052320 · Cited by 44
Bowman, D., Harte, T., Chardonnet, V., et al. (2017) · MPG.PuRe (Max Planck Society) · Cited by 35
Quantum Sampling Algorithms for Near-Term Devices
Wild, D. S., Sels, D., Pichler, H., Zanoci, C., & Lukin, M. D. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.100504 · Cited by 33
Self-citationMonte Carlo study of surface critical phenomena: The special point
Martin Hasenbusch, B. (2011) · Physical Review B · doi:10.1103/physrevb.84.134405 · Cited by 31
Efficient preparation of two-dimensional defect-free atom arrays with near-fewest sorting-atom moves
Sheng, C., Hou, J., He, X., Xu, P., Wang, K., Zhuang, J., Li, X., Liu, M., Wang, J., & Zhan, M. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.023008 · Cited by 30
Large-Scale Uniform Optical Focus Array Generation with a Phase Spatial Light ModulatorPreprint
Kim, D., Keesling, A., Omran, A., et al. (2019) · DSpace@MIT (Massachusetts Institute of Technology) · doi:10.48550/arxiv.1903.09286 · Cited by 3
Self-citationEnhanced atom-by-atom assembly of arbitrary tweezers arraysPreprint
Schymik, K.-N., Lienhard, V., Barredo, D., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.06827 · Cited by 3
Efficient preparation of 2D defect-free atom arrays with near-fewest sorting-atom movesPreprint
Sheng, C., Hou, J., He, X., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2011.10390 · Cited by 1
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
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
