Bose Research Group

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.

      

Announcements

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  • Postdoctoral, PhD and project positions are available in our group. Join Us.

  • February 2025: Devansh presents his Masters’ project. Congratulations! Now on to even more exciting things! See more…

  • October 2024: Devansh’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…

  • December 2023: A new tensor network approach to simulating quantum correlation functions published in the Journal of Chemical Physics. Check it out…

Research Areas

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.

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All Path Integrals Applications
Multisite Tensor Network Path Integral

Multisite Tensor Network Path Integral

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.

Exciton Transport

Exciton Transport

COMING SOON

Tensor Network Path Integral

Tensor Network Path Integral

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.

Topics under Study

Adiabatic Switching Correlation Functions DMRG Exciton Transport Light-Harvesting Complex Lossy Systems Path Integrals Quantum-Classical Quasiclassical Rate Theory Routes of Transport Software Spin Chain Tensor Networks Wigner

Latest Publications

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Adaptive Kink Filtration: Achieving Asymptotic Size-Independence of Path Integral Simulations Utilizing the Locality of Interactions
Path integral calculations scale exponentially with system sizes, making simulations of large systems prohibitively difficult. However, physical systems have certain constraints; interactions, for instance, are generally quite local. Is it possible to use these features to make the cost of path integral simulations indepedent of system size? Explore in depth…
Adaptive Kink Filtration: Achieving Asymptotic Size-Independence of Path Integral Simulations Utilizing the Locality of Interactions
Impact of Loss Mechanisms on Linear Spectra of Excitonic and Polaritonic Aggregates
Let’s study spectra for lossy systems! How would the line shapes be affected? How do we exactly quantify the impact of such changes? Our Path Integral Lindblad Dynamics method provides a perfect way of answering these questions. Walk with us while we explore these questions…
Cite Project Project DOI
Impact of Loss Mechanisms on Linear Spectra of Excitonic and Polaritonic Aggregates
Incorporation of Empirical Gain and Loss Mechanisms in Open Quantum Systems through Path Integral Lindblad Dynamics
How does one incorporate loss and gain mechanisms determined by empirical time-scales in an otherwise numerically exact computation? One way is by combining Lindblad master equations with path integral simulations. Why would one do this? Where are the details? Read more to find out…
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Incorporation of Empirical Gain and Loss Mechanisms in Open Quantum Systems through Path Integral Lindblad Dynamics
Quantum correlation functions through tensor network path integral
Tensors networks are now-a-days being used for simulating the non-equilibrium dynamics of open quantum systems. In this work, we introduce a novel tensor network approach to computing quantum correlation functions for open quantum systems using Feynman-Vernon influence function. Read in full detail…
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Quantum correlation functions through tensor network path integral
Impact of Spatial Inhomogeneity on Excitation Energy Transport in the Fenna–Matthews–Olson Complex
The different chromophores of the Fenna-Matthews-Olson complex are exposed to different environments. Using path integral simulations and our state-to-state analysis technique, we explore the effect of this inhomogeneity of environment on the exciton transport process. Read more…
Cite DOI
Impact of Spatial Inhomogeneity on Excitation Energy Transport in the Fenna–Matthews–Olson Complex
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