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20082026
most citedInterpreting quantum discord through quantum state merging

354 citations · 845 across the 37 of their papers we have counts for

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Showing q-bio.PEShow all

6 papers · 1 filter

q-bio.PE2026

Adaptive dynamics of eco-evolutionary repeated games: Effect of reward and punishment

Prosanta Mandal, Suman Chakraborty, Vaibhav Madhok +1

Long-term evolutionary processes can strongly influence common-pool resource conservation by generating new traits or behaviours that modify the feedback between population strateg…

q-bio.PE2018★ 1 cited

Evolutionary dynamics from deterministic microscopic ecological processes: A toy model for evolutionary processes

Vaibhav Madhok

The central goal of a dynamical theory of evolution is to abstract the mean evolutionary trajectory in the trait space by considering ecological processes at the level of the indiv…

q-bio.PE2017

Equations of Evolutionary Dynamics in High Dimensions

Alfred Ajay Aureate R., Vaibhav Madhok

We study quasi-species and closely related evolutionary dynamics like the replicator-mutator equation in high dimensions. In particular, we show that under certain conditions the f…

q-bio.PE2016

Quasi-Species in High Dimensional Spaces

Vaibhav Madhok

We show that, under certain assumptions, the fitness of almost all quasi-species becomes independent of mutational probabilities and the initial frequency distributions of the sequ…

q-bio.PE2016

Efficient Simulations of Individual Based Models for Adaptive Dynamics and the Canonical Equation

Vaibhav Madhok

We propose a faster algorithm for individual based simulations for adaptive dynamics based on a simple modification to the standard Gillespie Algorithm for simulating stochastic bi…

q-bio.PE2015★ 28 cited

Individual-Based models for adaptive diversification in high-dimensional phenotype spaces

Iaroslav Ispolatov, Vaibhav Madhok, Michael Doebeli

Most theories of evolutionary diversification are based on equilibrium assumptions: they are either based on optimality arguments involving static fitness landscapes, or they assum…