Showing 1 - 14 results of 14 for search '"toy"', query time: 0.07s Refine Results
  1. 1

    Measurement-Induced Phase Transitions in the Dynamics of Entanglement by Skinner, Brian J, Ruhman, Jonathan, Nahum, Adam

    Published 2022
    “…To obtain a simple heuristic picture for the entangling-disentangling transition, we first construct a toy model that describes the zeroth Rényi entropy in discrete time. …”
    Get full text
    Article
  2. 2

    Self-Organized Resonance during Search of a Diverse Chemical Space by Kachman, Tal, Owen, Jeremy Andrew, England, Jeremy L.

    Published 2017
    “…Here, we study the stochastic search of a toy chemical space by a collection of reacting Brownian particles subject to periodic forcing. …”
    Get full text
    Get full text
    Article
  3. 3

    Signal/noise optimization strategies for stochastically estimated correlation functions by Detmold, William, Endres, Michael G

    Published 2019
    “…The ideas are discussed for both a toy model, and single hadron correlators in the context of quantum chromodynamics.…”
    Get full text
    Article
  4. 4

    Nonequilibrium associative retrieval of multiple stored self-assembly targets by Bisker, Gili, England, Jeremy L

    Published 2021
    “…Moreover, improving the kinetic stability of a target at equilibrium carries the price of introducing kinetic traps, leading to slower assembly. Using a toy physical model of interacting particles, we demonstrate that local driving can improve both the assembly time and kinetic stability of multitarget self-assembly, as well as reduce fluctuations around the target configuration. …”
    Get full text
    Article
  5. 5

    Causal Geometry by Chvykov, Pavel, Hoel, Erik

    Published 2021
    “…We thus argue that a coarse-grained model may, paradoxically, be more informative than the microscopic one, especially when it better matches the scale of accessible interventions—as we illustrate on toy examples.…”
    Get full text
    Article
  6. 6

    Machine-learning nonconservative dynamics for new-physics detection by Liu, Ziming, Wang, Bohan, Meng, Qi, Chen, Wei, Tegmark, Max, Liu, Tie-Yan

    Published 2022
    “…We demonstrate that NNPhD successfully discovers new physics in toy numerical experiments, rediscovering friction (1493) from a damped double pendulum, Neptune from Uranus' orbit (1846), and gravitational waves (2017) from an inspiraling orbit. …”
    Get full text
    Article
  7. 7

    Emergent anomalous higher symmetries from topological order and from dynamical electromagnetic field in condensed matter systems by Wen, Xiao-Gang

    Published 2021
    “…The usual condensed matter lattice theories do not include dynamical electromagnetic (EM) field and do not have higher symmetries (unless we engineer fine-tuned toy models). However, for gapped systems, (anomalous) higher symmetries can emerge from the usual condensed matter theories at low energies (usually in a spontaneously broken form). …”
    Get full text
    Article
  8. 8

    Design of conditions for self-replication by Sarkar, Sumantra, England, Jeremy L.

    Published 2021
    “…By analyzing the kinetics of a toy chemical model, we demonstrate that the emergence of self-replication can be controlled by coarse, tunable features of the chemical system, such as the fraction of fast reactions and the width of the rate constant distribution. …”
    Get full text
    Article
  9. 9

    Emergent gravity of fractons: Mach’s principle revisited by Pretko, Michael

    Published 2017
    “…Recent work has established the existence of stable quantum phases of matter described by symmetric tensor gauge fields, which naturally couple to particles of restricted mobility, such as fractons. We focus on a minimal toy model of a rank 2 tensor gauge field, consisting of fractons coupled to an emergent graviton (massless spin-2 excitation). …”
    Get full text
    Get full text
    Article
  10. 10

    Toward an artificial intelligence physicist for unsupervised learning by Wu, Tailin, Tegmark, Max

    Published 2021
    “…We test our implementation, the toy "artificial intelligence physicist" learning agent, on a suite of increasingly complex physics environments. …”
    Get full text
    Article
  11. 11

    Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices by Akar, Simon, Atluri, Gowtham, Boettcher, Thomas, Peters, Michael, Schreiner, Henry, Sokoloff, Michael, Stahl, Marian, Tepe, William, Weisser, Constantin, Williams, Mike

    Published 2022
    “…Using two newer Kernel Density Estimators (KDEs) as input feature sets improves the fidelity of the models, as does using full LHCb simulation rather than the “toy Monte Carlo” originally (and still) used to develop models. …”
    Get full text
    Article
  12. 12

    Parameter estimation for heavy binary-black holes with networks of second-generation gravitational-wave detectors by Sturani, Riccardo, Veitch, John, Graff, Philip, Vitale, Salvatore, Lynch, Ryan Christopher

    Published 2017
    “…Finally, considering a simple toy model, we show how detections can be combined to infer properties of the underlying population.…”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    CUORE sensitivity to 0νββ decay by Cononica, L., Gladstone, Laura, Hansen, E., Leder, Alexander Friedrich, Ouellet, Jonathan L, Winslow, Lindley

    Published 2018
    “…We used a Bayesian analysis based on a toy Monte Carlo (MC) approach to extract the exclusion sensitivity to the 0νββ decay half-life (T[superscript 0ν][subscript 1/2]) at 90% credibility interval (CI) – i.e. the interval containing the true value of T[superscript 0ν][subcript 1/2] with 90% probability – and the 3σ discovery sensitivity. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    CUORE sensitivity to 0νββ decay by Cononica, L., Gladstone, Laura, Hansen, E., Leder, Alexander Friedrich, Ouellet, Jonathan L, Winslow, Lindley

    Published 2018
    “…We used a Bayesian analysis based on a toy Monte Carlo (MC) approach to extract the exclusion sensitivity to the 0 decay half-life (T[superscript 0ν][subscript 1/2]) at 90 % credibility interval (CI) – i.e. the interval containing the true value of T[superscript 0ν][subscript 1/2] with 90 % probability – and the 3σ discovery sensitivity. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article