The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
Observation of a many-body dynamical phase transition with a 53-qubit quantum simulator
Open accessAbstract
A quantum simulator is a type of quantum computer that controls the interactions between quantum bits (or qubits) in a way that can be mapped to certain quantum many-body problems. As it becomes possible to exert more control over larger numbers of qubits, such simulators will be able to tackle a wider range of problems, such as materials design and molecular modelling, with the ultimate limit being a universal quantum computer that can solve general classes of hard problems. Here we use a quantum simulator composed of up to 53 qubits to study non-equilibrium dynamics in the transverse-field Ising model with long-range interactions. We observe a dynamical phase transition after a sudden change of the Hamiltonian, in a regime in which conventional statistical mechanics does not apply. The qubits are represented by the spins of trapped ions, which can be prepared in various initial pure states. We apply a global long-range Ising interaction with controllable strength and range, and measure each individual qubit with an efficiency of nearly 99 per cent. Such high efficiency means that arbitrary many-body correlations between qubits can be measured in a single shot, enabling the dynamical phase transition to be probed directly and revealing computationally intractable features that rely on the long-range interactions and high connectivity between qubits.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Analog quantum simulators have been getting notably more sophisticated, and are already being employed to study quantum dynamics in regimes which may be beyond the reach of classical simulators [51, 52].”
From Quantum Computing in the NISQ era and beyond (2018) · cites this paper as [52]
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 Computation and Quantum Information
Nielsen, M. A., Chuang, I., & Grover, L. K. (2002) · American Journal of Physics · doi:10.1119/1.1463744 · Cited by 21,895
Quantum Computation and Quantum Information: 10th Anniversary Edition
Nielsen, M. A., & Chuang, I. L. (2012) · doi:10.1017/cbo9780511976667 · Cited by 8,436
Simulating physics with computers
Feynman, R. P. (1982) · International Journal of Theoretical Physics · doi:10.1007/bf02650179 · Cited by 7,691
Subir Sachdev, A. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511622540 · Cited by 3,675
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Kandala, A., Mezzacapo, A., Temme, K., Takita, M., Brink, M., Chow, J. M., & Gambetta, J. M. (2017) · Nature · doi:10.1038/nature23879 · Cited by 2,982
Georgescu, I. M., Ashhab, S., & Nori, F. (2014) · Reviews of Modern Physics · doi:10.1103/revmodphys.86.153 · Cited by 2,932
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
Experimental issues in coherent quantum-state manipulation of trapped atomic ions
Wineland, D. J., Monroe, C., Itano, W. M., Leibfried, D., King, B. E., & Meekhof, D. M. (1998) · Journal of Research of the National Institute of Standards and Technology · doi:10.6028/jres.103.019 · Cited by 1,497
Self-citationOn the computational complexity of Ising spin glass models
Barahona, F. (1982) · Journal of Physics A Mathematical and General · doi:10.1088/0305-4470/15/10/028 · Cited by 1,303
Quantum many-body systems out of equilibrium
Eisert, J., Friesdorf, M., & Gogolin, C. (2015) · Nature Physics · doi:10.1038/nphys3215 · Cited by 1,255
Cited by
Sorted by citations
Items 301–400 of 1,003
Quantum Interference between Photons from an Atomic Ensemble and a Remote Atomic Ion
Craddock, A. N., Hannegan, J., Ornelas-Huerta, D., Siverns, J., Hachtel, A. J., Goldschmidt, E. A., Porto, J. V., Quraishi, Q. S., & Rolston, S. L. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.213601 · Cited by 39
Many-Body Dephasing in a Trapped-Ion Quantum Simulator
Kaplan, H., Guo, L., Tan, W. L., De, A., Marquardt, F., Pagano, G., & Monroe, C. R. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.120605 · Cited by 38
Self-citationCollective effects on the performance and stability of quantum heat engines
Souza, L. D. S., Manzano, G., Fazio, R., & Iemini, F. (2022) · Physical review. E · doi:10.1103/physreve.106.014143 · Cited by 36
Finite-temperature critical behavior of long-range quantum Ising models
Lazo, E. G., Heyl, M., Dalmonte, M., & Angelone, A. (2021) · SciPost Physics · doi:10.21468/scipostphys.11.4.076 · Cited by 41
Classical and quantum evolution in a simple coherent neutrino problem
Martin, J. D., Roggero, A., Duan, H., Carlson, J., & Cirigliano, V. (2022) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.105.083020 · Cited by 44
Theory of Dynamical Phase Transitions in Quantum Systems with Symmetry-Breaking Eigenstates
Corps, Á. L., & Relaño, A. (2023) · Physical Review Letters · doi:10.1103/physrevlett.130.100402 · Cited by 36
Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation
Tomesh, T., Saleem, Z. H., Perlin, M. A., Gokhale, P., Suchara, M., & Martonosi, M. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00009 · Cited by 50
Identification of an X-Band Clock Transition in Cp′3Pr–Enabled by a 4f25d1Configuration
Smith, P. W., Hrubý, J., Evans, W. J., Hill, S., & Minasian, S. G. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.3c12725 · Cited by 35
Asymmetric Particle Transport and Light-Cone Dynamics Induced by Anyonic Statistics
Liu, F., Garrison, J. R., Deng, D.-L., Gong, Z., & Gorshkov, A. V. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.250404 · Cited by 37
Self-citationClosing Gaps of a Quantum Advantage with Short-Time Hamiltonian Dynamics
Haferkamp, J., Hangleiter, D., Bouland, A., Fefferman, B., Eisert, J., & Bermejo-Vega, J. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.250501 · Cited by 41
Quantum time crystals with programmable disorder in higher dimensions
Kshetrimayum, A., Goihl, M., Kennes, D. M., & Eisert, J. (2021) · Physical review. B./Physical review. B · doi:10.1103/physrevb.103.224205 · Cited by 39
Khasseh, R., Russomanno, A., Schmitt, M., Heyl, M., & Fazio, R. (2020) · Physical review. B./Physical review. B · doi:10.1103/physrevb.102.014303 · Cited by 35
Huber, J., Rey, A. M., & Rabl, P. (2022) · Physical Review A · doi:10.1103/physreva.105.013716 · Cited by 37
QuCumber: wavefunction reconstruction with neural networks
Beach, M. J. S., Vlugt, I. J. S. D., Golubeva, A., Huembeli, P., Kulchytskyy, B., Luo, X., Melko, R. G., Merali, E., & Torlai, G. (2019) · SciPost Physics · doi:10.21468/scipostphys.7.1.009 · Cited by 42
Classification of Matrix-Product Unitaries with Symmetries
Gong, Z., Sünderhauf, C., Schuch, N., & Cirac, J. I. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.100402 · Cited by 34
Self-citationUniversal Dynamics of Stochastically Driven Quantum Impurities
Berdanier, W., Marino, J., & Altman, E. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.230604 · Cited by 34
Decoherence scaling transition in the dynamics of quantum information scrambling
Domínguez, F. D., Rodríguez, M. C., Kaiser, R., Suter, D., & Álvarez, G. A. (2021) · Physical Review A · doi:10.1103/physreva.104.012402 · Cited by 34
Quantum Simulations with Complex Geometries and Synthetic Gauge Fields in a Trapped Ion Chain
Manovitz, T., Shapira, Y., Akerman, N., Stern, A., & Ozeri, R. (2020) · PRX Quantum · doi:10.1103/prxquantum.1.020303 · Cited by 37
Perturbative Quantum Simulation
Sun, J., Endo, S., Lin, H., Hayden, P. M., Vedral, V., & Yuan, X. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.120505 · Cited by 36
Dynamical structure factors of dynamical quantum simulators
Baez, M. L., Goihl, M., Haferkamp, J., Bermejo-Vega, J., Gluza, M., & Eisert, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2006103117 · Cited by 34
Extract the Degradation Information in Squeezed States with Machine Learning
Hsieh, H.-Y., Chen, Y.-R., Wu, H.-C., Chen, H. L., Ning, J., Huang, Y.-C., Wu, C.-M., & Lee, R.-K. (2022) · Physical Review Letters · doi:10.1103/physrevlett.128.073604 · Cited by 33
Zhou, L., Kong, J., Lan, Z., & Zhang, W. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.013087 · Cited by 33
Quantum critical detector: amplifying weak signals using discontinuous quantum phase transitions
Yang, L.-P., & Jacob, Z. (2019) · Optics Express · doi:10.1364/oe.27.010482 · Cited by 36
Controlling long ion strings for quantum simulation and precision measurements
Kranzl, F., Joshi, M. K., Maier, C., Brydges, T., Franke, J., Blatt, R., & Roos, C. F. (2022) · Physical Review A · doi:10.1103/physreva.105.052426 · Cited by 32
Current numbers of qubits and their uses
Ichikawa, T., Hakoshima, H., Inui, K., Ito, K., Matsuda, R., Mitarai, K., Miyamoto, K., Mizukami, W., Mizuta, K., Mōri, T., et al. (2024) · Nature Reviews Physics · doi:10.1038/s42254-024-00725-0 · Cited by 32
Dynamical quantum phase transitions in collapse and revival oscillations of a quenched superfluid
Łącki, M., & Heyl, M. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.99.121107 · Cited by 33
2D Linear Trap Array for Quantum Information Processing
Holz, P. C., Auchter, S., Stocker, G., Valentini, M., Lakhmanskiy, K., Rössler, C., Stampfer, P., Sgouridis, S., Aschauer, E., Colombe, Y., et al. (2020) · Advanced Quantum Technologies · doi:10.1002/qute.202000031 · Cited by 37
Gillman, E., Carollo, F., & Lesanovsky, I. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.100403 · Cited by 33
Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
Valenti, A., Jin, G., Léonard, J., Huber, S. D., & Greplová, E. (2022) · Physical Review A · doi:10.1103/physreva.105.023302 · Cited by 32
Quantum chaos and ensemble inequivalence of quantum long-range Ising chains
Russomanno, A., Fava, M., & Heyl, M. (2021) · Physical review. B./Physical review. B · doi:10.1103/physrevb.104.094309 · Cited by 37
Quantum simulation of chiral phase transitions
Czajka, A. M., Kang, Z.-B., Ma, H., & Zhao, F. (2022) · Journal of High Energy Physics · doi:10.1007/jhep08(2022)209 · Cited by 42
Optimal quantum reservoir computing for the noisy intermediate-scale quantum era
Domingo, L., Carlo, G. G., & Borondo, F. (2022) · Physical review. E · doi:10.1103/physreve.106.l043301 · Cited by 36
Real-time quantum calculations of phase shifts using wave packet time delays
Gustafson, E., Zhu, Y., Dreher, P., Linke, N. M., & Meurice, Y. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.054507 · Cited by 44
Fast Preparation of Critical Ground States Using Superluminal Fronts
Agarwal, K., Bhatt, R. N., & Sondhi, S. L. (2018) · Physical Review Letters · doi:10.1103/physrevlett.120.210604 · Cited by 34
Entangled quantum cellular automata, physical complexity, and Goldilocks rules
Hillberry, L. E., Jones, M. T., Vargas, D. L., Rall, P., Halpern, N. Y., Bao, N., Notarnicola, S., Montangero, S., & Carr, L. D. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/ac1c41 · Cited by 35
Approximating the quantum approximate optimization algorithm with digital-analog interactions
Headley, D., Müller, T., Martin, A., Solano, E., Sanz, M., & Wilhelm, F. K. (2022) · Physical Review A · doi:10.1103/physreva.106.042446 · Cited by 33
Scalable arrays of micro-penning traps for quantum computing and simulation
Jain, S., Alonso, J., Grau, M., & Home, J. P. (2020) · Physical Review X · doi:10.1103/physrevx.10.031027 · Cited by 30
Interference in a Prototype of a Two-Dimensional Ion Trap Array Quantum Simulator
Hakelberg, F., Kiefer, P., Wittemer, M., Warring, U., & Schaetz, T. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.100504 · Cited by 31
Scalable quantum tomography with fidelity estimation
Wang, J., Han, Z., Wang, S., Li, Z., Mu, L.-Z., Fan, H., & Wang, L. (2020) · Physical Review A · doi:10.1103/physreva.101.032321 · Cited by 30
Machine learning design of a trapped-ion quantum spin simulator
Teoh, Y. H., Drygala, M., Melko, R. G., & Islam, R. (2019) · Quantum Science and Technology · doi:10.1088/2058-9565/ab657a · Cited by 32
Universal quantum computation and quantum error correction with ultracold atomic mixtures
Kasper, V., González-Cuadra, D., Hegde, A., Xia, A., Dauphin, A., Huber, F., Tiemann, E., Lewenstein, M., Jendrzejewski, F., & Hauke, P. (2021) · Quantum Science and Technology · doi:10.1088/2058-9565/ac2d39 · Cited by 32
Cavity-QED Quantum Simulator of Dynamical Phases of a Bardeen-Cooper-Schrieffer Superconductor
Lewis-Swan, R. J., Barberena, D., Cline, J., Young, D. J., Thompson, J. K., & Rey, A. M. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.173601 · Cited by 30
Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation
Vazquez, A. C., Egger, D. J., Ochsner, D., & Woerner, S. (2023) · Quantum · doi:10.22331/q-2023-07-25-1067 · Cited by 38
Revealing quantum chaos with machine learning
Kharkov, Y. A., Sotskov, V., Karazeev, A., Kiktenko, E. O., & Fedorov, A. K. (2020) · Physical review. B./Physical review. B · doi:10.1103/physrevb.101.064406 · Cited by 31
Out‐of‐Time‐Order Correlators and Quantum Phase Transitions in the Rabi and Dicke Models
Sun, Z., Cai, J., Tang, Q., Hu, Y., & Fan, H. (2020) · Annalen der Physik · doi:10.1002/andp.201900270 · Cited by 30
Lesanovsky, I., Macieszczak, K., & Garrahan, J. P. (2018) · Quantum Science and Technology · doi:10.1088/2058-9565/aaf831 · Cited by 30
Białończyk, M., & Damski, B. (2020) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ab609a · Cited by 29
Statistical mechanics of Floquet quantum matter: exact and emergent conservation laws
Haldar, A., & Das, A. (2021) · Journal of Physics Condensed Matter · doi:10.1088/1361-648x/ac03d2 · Cited by 29
Quantum information scrambling: from holography to quantum simulators
Bhattacharyya, A., Joshi, L. K., & Sundar, B. (2022) · The European Physical Journal C · doi:10.1140/epjc/s10052-022-10377-y · Cited by 32
Dynamical crossover behavior in the relaxation of quenched quantum many-body systems
Makki, A. A., Bandyopadhyay, S. K., Maity, S., & Dutta, A. (2022) · Physical review. B./Physical review. B · doi:10.1103/physrevb.105.054301 · Cited by 29
Propagation of errors and quantitative quantum simulation with quantum advantage
Flannigan, S., Pearson, N., Low, G. H., Buyskikh, A. S., Bloch, I., Zoller, P., Troyer, M., & Daley, A. J. (2022) · Quantum Science and Technology · doi:10.1088/2058-9565/ac88f5 · Cited by 48
Li, B.-W., Mei, Q.-X., Wu, Y., Cai, M.-L., Wang, Y., Yao, L., Zhou, Z.-C., & Duan, L.-M. (2022) · Physical Review Letters · doi:10.1103/physrevlett.129.140501 · Cited by 29
Variational quantum time evolution without the quantum geometric tensor
Gacon, J., Nys, J., Rossi, R., Woerner, S., & Carleo, G. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.013143 · Cited by 37
Andrea Pelissetto, C., Rossini, D., & Vicari, E. (2018) · Physical review. B./Physical review. B · doi:10.1103/physrevb.97.094414 · Cited by 29
Сукачев, Д. Д. (2020) · Physics-Uspekhi · doi:10.3367/ufne.2020.11.038888 · Cited by 28
Characterizing the dynamical phase diagram of the Dicke model via classical and quantum probes
Lewis-Swan, R. J., Muleady, S. R., Barberena, D., Bollinger, J. J., & Rey, A. M. (2021) · Physical Review Research · doi:10.1103/physrevresearch.3.l022020 · Cited by 30
Dynamical phase transitions in quantum spin models with antiferromagnetic long-range interactions
Halimeh, J. C., Damme, M. V., Guo, L., Lang, J., & Hauke, P. (2021) · Physical review. B./Physical review. B · doi:10.1103/physrevb.104.115133 · Cited by 28
Enhanced quantum state transfer by circumventing quantum chaotic behavior
Xiang, L., Chen, J., Zhu, Z., Song, Z., Bao, Z., Zhu, X., Jin, F., Wang, K., Xu, S., Zou, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48791-3 · Cited by 32
Edge fluctuations and third-order phase transition in harmonically confined long-range systems
Kethepalli, J., Kulkarni, M., Kundu, A., Majumdar, S. N., Mukamel, D., & Schehr, G. (2022) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ac52b2 · Cited by 27
Saturating the quantum Cramér–Rao bound using LOCC
Zhou, S., Zou, C.-L., & Jiang, L. (2020) · Quantum Science and Technology · doi:10.1088/2058-9565/ab71f8 · Cited by 29
Bell Correlations at Ising Quantum Critical Points
Piga, A., Aloy, A., Lewenstein, M., & Frérot, I. (2019) · Physical Review Letters · doi:10.1103/physrevlett.123.170604 · Cited by 27
Nonlinear dynamics and quantum chaos of a family of kicked p -spin models
Muñoz-Arias, M. H., Poggi, P. M., & Deutsch, I. (2021) · Physical review. E · doi:10.1103/physreve.103.052212 · Cited by 27
Unveiling Quantum Entanglement in Many-Body Systems from Partial Information
Frérot, I., Baccari, F., & Acín, A. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010342 · Cited by 27
Far-from-equilibrium universality in the two-dimensional Heisenberg model
Rodriguez-Nieva, J. F., Orioli, A. P., & Marino, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2122599119 · Cited by 27
Schuckert, A., Bohrdt, A., Crane, E., & Knap, M. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.l140410 · Cited by 33
Quantum antenna arrays: The role of quantum interference on direction-dependent photon statistics
Liberal, I., Ederra, Í., & Ziolkowski, R. W. (2018) · Physical Review A · doi:10.1103/physreva.97.053847 · Cited by 28
Influence of weak disorder on the dynamical quantum phase transitions in the anisotropic XY chain
Cao, K., Li, W., Zhong, M., & Tong, P. (2020) · Physical review. B./Physical review. B · doi:10.1103/physrevb.102.014207 · Cited by 27
Small, Highly Accurate Quantum Processor for Intermediate-Depth Quantum Simulations
Lysne, N., Kuper, K. W., Poggi, P. M., Deutsch, I., & Jessen, P. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.230501 · Cited by 27
Lewis-Swan, R. J., Muleady, S. R., & Rey, A. M. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.240605 · Cited by 27
Hamiltonian quantum generative adversarial networks
Kim, L., Lloyd, S., & Marvian, M. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.033019 · Cited by 26
Mendl, C. B., & Budich, J. C. (2019) · Physical review. B./Physical review. B · doi:10.1103/physrevb.100.224307 · Cited by 26
Quantifying the Sensitivity to Errors in Analog Quantum Simulation
Poggi, P. M., Lysne, N., Kuper, K. W., Deutsch, I., & Jessen, P. (2020) · PRX Quantum · doi:10.1103/prxquantum.1.020308 · Cited by 30
Floquet dynamical quantum phase transitions in periodically quenched systems
Zhou, L., & Du, Q. (2021) · Journal of Physics Condensed Matter · doi:10.1088/1361-648x/ac0b60 · Cited by 26
Quantum algorithms for electronic structures: basis sets and boundary conditions
Liu, J., Fan, Y., Li, Z., & Yang, J. (2022) · Chemical Society Reviews · doi:10.1039/d1cs01184g · Cited by 27
Abah, O., Chiara, G. D., Paternostro, M., & Puebla, R. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.l022017 · Cited by 26
Scrambling and quantum chaos indicators from long-time properties of operator distributions
Omanakuttan, S., Chinni, K., Blocher, P. D., & Poggi, P. M. (2023) · Physical Review A · doi:10.1103/physreva.107.032418 · Cited by 27
Tunable quantum simulation of spin models with a two-dimensional ion crystal
Qiao, M., Cai, Z., Wang, Y., Du, B., Jin, N., Chen, W., Wang, P., Luan, C., Gao, E., Sun, X., et al. (2024) · Nature Physics · doi:10.1038/s41567-023-02378-9 · Cited by 27
Self-citationDynamical Hamiltonian engineering of 2D rectangular lattices in a one-dimensional ion chain
Rajabi, F., Motlakunta, S., Shih, C.-Y., Kotibhaskar, N., Quraishi, Q. S., Ajoy, A., & Islam, R. (2019) · npj Quantum Information · doi:10.1038/s41534-019-0147-x · Cited by 29
Many-body enhancement in a spin-chain quantum heat engine
Williamson, L. A., & Davis, M. J. (2024) · Physical review. B./Physical review. B · doi:10.1103/physrevb.109.024310 · Cited by 25
Preparation of Low Entropy Correlated Many-Body States via Conformal Cooling Quenches
Zaletel, M. P., Kaufman, A. M., Stamper-Kurn, D., & Yao, N. Y. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.103401 · Cited by 27
Demonstration of essentiality of entanglement in a Deutsch-like quantum algorithm
Huang, H.-L., Goswami, A., Bao, W., & Panigrahi, P. K. (2018) · Science China Physics Mechanics and Astronomy · doi:10.1007/s11433-018-9175-2 · Cited by 25
Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography
Hsieh, H.-Y., Ning, J., Chen, Y.-R., Wu, H.-C., Chen, H. L., Wu, C.-M., & Lee, R. (2022) · Symmetry · doi:10.3390/sym14050874 · Cited by 25
Dynamical Hadron Formation in Long-Range Interacting Quantum Spin Chains
Vovrosh, J., Mukherjee, R., Bastianello, A., & Knolle, J. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.040309 · Cited by 28
Dynamical singularity of the rate function for quench dynamics in finite-size quantum systems
Zeng, Y., Zhou, B., & Chen, S. (2023) · Physical review. B./Physical review. B · doi:10.1103/physrevb.107.134302 · Cited by 25
Ji, Y., Bian, J., Chen, X., Li, J., Nie, X., Zhou, H., & Peng, X. (2019) · Physical Review A · doi:10.1103/physreva.99.032323 · Cited by 25
Nonequilibrium Criticality in Quench Dynamics of Long-Range Spin Models
Titum, P., & Maghrebi, M. F. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.040602 · Cited by 27
Müller-Rigat, G., Aloy, A., Lewenstein, M., & Frérot, I. (2021) · PRX Quantum · doi:10.1103/prxquantum.2.030329 · Cited by 25
Engineering first-order quantum phase transitions for weak signal detection
Yang, L.-P., & Jacob, Z. (2019) · Journal of Applied Physics · doi:10.1063/1.5121558 · Cited by 25
Unconventional critical exponents at dynamical quantum phase transitions in a random Ising chain
Trapin, D., Halimeh, J. C., & Heyl, M. (2021) · Physical review. B./Physical review. B · doi:10.1103/physrevb.104.115159 · Cited by 24
Wavelength-insensitive, multispecies entangling gate for group-2 atomic ions
Sawyer, B. C., & Brown, K. R. (2021) · Physical Review A · doi:10.1103/physreva.103.022427 · Cited by 29
Trotter Errors from Dynamical Structural Instabilities of Floquet Maps in Quantum Simulation
Chinni, K., Muñoz-Arias, M. H., Deutsch, I., & Poggi, P. M. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010351 · Cited by 24
Robust Higher-Order Hamiltonian Engineering for Quantum Sensing with Strongly Interacting Systems
Zhou, H., Martin, L. S., Tyler, M., Makarova, O., Leitao, N., Park, H., & Lukin, M. D. (2023) · Physical Review Letters · doi:10.1103/physrevlett.131.220803 · Cited by 24
Engineering Clock Transitions in Molecular Lanthanide Complexes
Stewart, R., Canaj, A. B., Liu, S., Martí, E. R., Celmina, A., Nichol, G. S., Cheng, H., Murrie, M., & Hill, S. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.3c09353 · Cited by 24
Prethermalization and Nonreciprocal Phonon Transport in a Levitated Optomechanical Array
Liu, S., Yin, Z., & Li, T. (2020) · Advanced Quantum Technologies · doi:10.1002/qute.201900099 · Cited by 24
Floquet-engineered quantum state transfer in spin chains
Zhou, H., Chen, X., Nie, X., Bian, J., Ji, Y., Li, Z., & Peng, X. (2019) · 中国科学通报：英文版 · doi:10.1016/j.scib.2019.05.018 · Cited by 24
Muñoz-Arias, M. H., Deutsch, I., Jessen, P., & Poggi, P. M. (2020) · Physical Review A · doi:10.1103/physreva.102.022610 · Cited by 24
Accelerated variational algorithms for digital quantum simulation of many-body ground states
Lyu, C., Montenegro, V., & Bayat, A. (2020) · Quantum · doi:10.22331/q-2020-09-16-324 · Cited by 27
Fermionic quantum cellular automata and generalized matrix-product unitaries
Piroli, L., Turzillo, A., Shukla, S. K., & Cirac, J. I. (2021) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/abd30f · Cited by 24
General synthesis of 2D rare-earth oxide single crystals with tailorable facets
Li, L., Lu, F., Xiong, W., Ding, Y., Lu, Y., Xiao, Y., Tong, X., Wang, Y., Jia, S., Wang, J., et al. (2021) · National Science Review · doi:10.1093/nsr/nwab153 · Cited by 24
Entanglement transitions as a probe of quasiparticles and quantum thermalization
Lu, T.-C., & Grover, T. (2020) · Physical review. B./Physical review. B · doi:10.1103/physrevb.102.235110 · Cited by 23
Metadata
- Authors
- Zhang, J., Pagano, G., Hess, P. W., Kyprianidis, A., Becker, P., Kaplan, H., Gorshkov, A. V., Gong, Z.-X., & Monroe, C.
- Affiliations
- National Institute of Standards and Technology (US)
- Corresponding author
- Zhang, J.
- Venue
- Nature
- Published
- 2017-11-30
- Volume
- 551
- Issue
- 7682
- Pages
- 601-604
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6506159
- OpenAlex
- W2744305830
- Semantic Scholar
- c0a03980f716165b71587b2e20a02af7e17abe69
- Cited by
- 1,079
- References
- 50
- Citations by year
- 2026: 58 · 2025: 94 · 2024: 112 · 2023: 121 · 2022: 131 · 2021: 164 · 2020: 163 · 2019: 139 · 2018: 93 · 2017: 4
- FWCI
- 53.54
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Cold Atom Physics and Bose-Einstein Condensates
- Keywords
- quantum simulation, trapped-ion quantum simulator, transverse-field Ising model, long-range interactions, nonequilibrium dynamics, single-shot measurement, many-body correlations, quantum computing
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
