Trending Research
Nonequilibrium free-energy calculation of phase-boundaries using LAMMPS
We present a guide to compute the phase-boundaries of classical systems using a dynamic Clausius-Clapeyron integration (dCCI) method within the LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) code.
Materials Science Statistical Mechanics Computational Physics
Scalable noise characterisation of syndrome extraction circuits with averaged circuit eigenvalue sampling
Characterising the performance of noisy quantum circuits is central to the production of prototype quantum computers and can enable improved quantum error correction that exploits noise biases identified in a quantum device.
Quantum Physics
Collective behavior from surprise minimization
conorheins/collective_motion_actinf
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Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges from directed movement to milling to disordered swarming.
Adaptation and Self-Organizing Systems Multiagent Systems Neurons and Cognition
Promoting global stability in data-driven models of quadratic nonlinear dynamics
Second, we illustrate how to modify the objective function in machine learning algorithms to promote globally stable models, with implications for the modeling of fluid and plasma flows.
Fluid Dynamics Computational Physics Plasma Physics
On-the-fly algorithm for Dynamic Mode Decomposition using Incremental Singular Value Decomposition and Total Least Squares
Dynamic Mode Decomposition (DMD) is a useful tool to effectively extract the dominant dynamic flow structure from a unsteady flow field.
Fluid Dynamics
The value of fusion energy to a decarbonized United States electric grid
Fusion could be a part of future decarbonized electricity systems, but it will need to compete with other technologies.
Physics and Society
Automated discovery of superconducting circuits and its application to 4-local coupler design
Superconducting circuits have emerged as a promising platform to build quantum processors.
Quantum Physics
A comment on "Factoring integers with sublinear resources on a superconducting quantum processor"
google-research/google-research
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al. tries to improve the widely debated Schnorr's lattice-based integer factorization algorithm using a quantum optimizer (QAOA), and further claim that one can break RSA 2048 using only 372 qubits.
Quantum Physics
SchNetPack: A Deep Learning Toolbox For Atomistic Systems
atomistic-machine-learning/schnetpack
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SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential energy surfaces and other quantum-chemical properties of molecules and materials.
Computational Physics Chemical Physics
Bit-Twiddling Hacks for Gamma Matrices
google-research/google-research
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For some research questions that involve Spin(p, q) representation theory, using symbolic algebra based techniques might be an attractive option for simplifying and manipulating expressions.
High Energy Physics - Theory
