The Bose Research Group focuses on developing novel computational approaches to simulating non-equilibrium dynamics of quantum systems in the condensed phase, overcoming the curse of dimensionality.
Postdoctoral, PhD and project positions are available in our group. Join Us.
March 2025: Our adaptive kink filtration technique for path integral simulations of open quantum systems published in the Journal of Chemical Physics. See more…
February 2025: Devansh Sharma presents his Masters’ project. Congratulations! Now on to even more exciting things! See more…
October 2024: Devansh Sharma’s exploration of the effect of loss mechanisms on linear spectra using our Path Integral Lindblad Dynamics method published in the Journal of Chemical Theory and Computation. Congratulations! Check it out…
March 2024: A novel and efficient approach to incorporating empirical gain / loss mechanisms into numerically exact, non-perturbative path integral simulations of open quantum systems published in the Journal of Physical Chemistry Letters. Check it out…
The cost of simulations of time-evolution of quantum systems grows exponentially with the number of dimensions involved. Various approaches, both approximate and numerically exact, are required to make such simulations feasible. Explore the ideas that are being developed in the group.
Simulating the dynamics of quantum systems is a challenging task with a multitude of complicated computational methods. The QuantumDynamicsCLI.jl package provides an application that leverages QuantumDynamics.jl to help making simulations a routine affair.
QuantumDynamics.jl is an open-source software for simulation of non-adiabatic dynamics of open quantum systems. Though written with performance in mind, QuantumDynamics provides a high throughput platform for experimentation with state-of-the-art approaches to method development.
How does one handle the dynamics of extended quantum systems interacting with local dissipative media? MS-TNPI provides an answer to this problem by introducing a 2D tensor network decomposition of the path integral expressions.
COMING SOON
Simulating exact quantum dynamics of a low-dimensional system interacting with a large dissipative environment proves to be challenging due to presence of non-Markovian effects. Tensor networks can be successfully used to reduce the memory burden of these non-Markovian simulations making it possible to study chemical reactions in the condensed phase with greater accuracy.
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