🎶 3:22pm Meet Me Halfway by iSing from iSing Pop Hit Instrumentals.
DJ Seagull - Into the Aquifer
#iSing #DJSeagull #IntotheAquifer #Radio1190 #KVCU
🎶 11:39am Meet Me Halfway by iSing from iSing Pop Hit Instrumentals.
News Team
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🎶 9:51pm Meet Me Halfway by iSing from iSing Pop Hit Instrumentals.
DJ Tallulah - 2turnttorrestuesday
#iSing #DJTallulah #2turnttorrestuesday #Radio1190 #KVCU
#paperOfTheDay : "How soon after a zero-temperature quench is the fate of the Ising model sealed?" from 2013.
As is well known, several methods of #quantumFieldTheory and statistical #physics can be used to study the behaviour of systems in equilibrium, and in particular at the critical point. For example, the #Ising model describes a lattice of spin variables, and one can compute critical exponents for the correlation length, assuming that the model has reached a steady state for a fixed temperature.
The present article studies the Ising model, but in a different situation: A (somewhat low) temperature is given, but the model is initialized in a fully random state (which would be the equilibrium state at very high temperature). As the simulation starts, the model moves towards its steady state: Neighbouring spins start to align, and clusters of a certain size are formed. Qualitatively, the size of the clusters in equilibrium is known, but their precise shape and orientation depends on the particular (random) simulation. This information must therefore emerge at some point after the initialization of the simulation. The present paper asks: When? The outcome is that this happens very early, in particular, long before the equilibrium is reached. But also, it's not the first cluster that survives. Instead, several clusters emerge after very few time steps, some disappear, some rearrange, but then one configureation "wins", and for a long time all that happens is that this clustering grows into its final equilibrium shape.
This paper is a nice (full of pictures!) example for properties of the Ising model beyond the usual equilibrium critical exponents story.
https://arxiv.org/abs/1312.1712
How soon after a zero-temperature quench is the fate of the Ising model sealed?

We study the transient between a fully disordered initial condition and a percolating structure in the low-temperature non-conserved order parameter dynamics of the bi-dimensional Ising model. We show that a stable structure of spanning clusters establishes at a time $t_p \simeq L^{α_p}$. Our numerical results yield $α_p=0.50(2)$ for the square and kagome, $α_p=0.33(2)$ for the triangular and $α_p=0.38(5)$ for the bowtie-a lattices.We generalise the dynamic scaling hypothesis to take into account this new time-scale. We discuss the implications of these results for other non-equilibrium processes.

arXiv.org

Learned at a conference a couple of days ago that our Ising model proposed in 2017 to describe collective U-turns in fish schools could now be labelled as a 'non-reciprocal Ising model'; how cool that there is a name for this class of models -- meaning it is of interest for physicists!

Our early non-reciprocal Ising model: https://doi.org/10.1098/rspb.2018.0251 🐟

#physics #ising #CollectiveBehaviour #fish

Emergent Equilibrium in All-Optical Single Quantum-Trajectory Ising Machines

https://arxiv.org/abs/2412.12768

#physics #ising #isingmodel #isingmachines #quantumphysics #quantum

We investigate the dynamics of multi-mode optical systems driven by two-photon processes and subject to non-local losses, incorporating quantum noise at the Gaussian level. Our findings show that the statistics from a single Gaussian quantum trajectory exhibit emergent thermal equilibrium governed by an Ising Hamiltonian encoded in the dissipative coupling between modes. The driving strength sets the system's effective temperature relative to the oscillation threshold. Given the ultra-short time scales typical of all-optical devices, our study demonstrates that such multi-mode optical systems can operate as ultra-fast Boltzmann samplers, paving the way toward the realization of efficient hardware for combinatorial optimization, with promising applications in machine learning and beyond.

Emergent Equilibrium in All-Optical Single Quantum-Trajectory Ising Machines

We investigate the dynamics of multi-mode optical systems driven by two-photon processes and subject to non-local losses, incorporating quantum noise at the Gaussian level. Our findings show that the statistics retrieved from a single Gaussian quantum trajectory exhibits emergent thermal equilibrium governed by an Ising Hamiltonian, encoded in the dissipative coupling between modes. The system's effective temperature is set by the driving strength relative to the oscillation threshold. Given the ultra-short time scales typical of all-optical devices, our study demonstrates that such multi-mode optical systems can operate as ultra-fast Boltzmann samplers, paving the way towards the realization of efficient hardware for combinatorial optimization, with promising applications in machine learning and beyond.

arXiv.org

the #Droitwich #iSing #Choir performing #Elbow’s #OneDayLikeThis at the town’s #SaltFest yesterday: great to see locals of different ages and abilities performing together.

I hear their soloist was pretty good too!

Just as the behavior of #spins in the #Ising model can be understood #statistically, the behavior described by #QFTs might also be statistical in nature.This implies that #quantum #field #theories are not describing fundamental fields directly but are instead capturing the statistical properties of an underlying, more fundamental theory. If QFTs are statistical, they might only approximate the behavior of a deeper reality, similar to how the Ising model approximates the behavior of a material.
The study of topological phases in quantum systems (like in the #quantum #Hall effect) can be seen as analogous to the study of #topological #transitions in #statistical models like the #Ising #model.

Have to brush up 🧹 my Monte Carlo knowledge for an interview. Turns out, the exact definition of a Monte Carlo method/simulation is somewhat subjective.

However, when looking for a cool gif I found this neat #julia package: https://github.com/genkuroki/Ising2D.jl

Thanks @genkuroki for building it 😃

#Ising #compphys #MonteCarlo

GitHub - genkuroki/Ising2D.jl: Julia package of the 2D Ising model

Julia package of the 2D Ising model. Contribute to genkuroki/Ising2D.jl development by creating an account on GitHub.

GitHub