activity
20242026
collaborators

10 papers

cond-mat.quant-gas2026

Dynamical Signatures and Kibble-Zurek Scaling of Localization in Tilted Bose-Einstein Condensates

Argha Debnath, Radheshyam Saha, Ravindra W. Chhajlany +2

We study nonequilibrium signatures of tilt-induced localization in a one-dimensional Bose-Einstein condensate loaded in a shallow optical lattice. The tilt strength acts as a contr…

quant-ph2026

Power-law-graded Ising Interactions Stabilize Time Crystals Realizing Quantum Energy Storage and Sensing

Ayan Sahoo, Debraj Rakshit

We study discrete time-crystalline (DTC) phases in one-dimensional spin-1/2 chains with power-law-graded Ising interactions under periodic Floquet driving. By generalizing Stark lo…

quant-ph2026

Measurement-Induced Local Dephasing Generates Symmetrically Located Entangled Sites in a Fermionic Tight-Binding Lattice

Aitijhya Saha, Srijani Das, Debraj Rakshit

We investigate an odd-sized fermionic open tight-binding chain subjected to stochastic projective measurements at its central site, effectively inducing localized dephasing. Focusi…

cond-mat.quant-gas2026

Localization from Infinitesimal Kinetic Grading: Finite-size Scaling, Kibble-Zurek Dynamics and Applications in Sensing

Argha Debnath, Ayan Sahoo, Debraj Rakshit

We study a one-dimensional lattice model with site-dependent nearest-neighbor hopping amplitudes that follow a power-law profile. The hopping variation is controlled by a grading e…

cond-mat.quant-gas2026

Tilt-Induced Localization in Interacting Bose-Einstein Condensates for Quantum Sensing

Argha Debnath, Mariusz Gajda, Debraj Rakshit

We investigate localization transitions in interacting Bose-Einstein condensates (BECs) confined in tilted optical lattices, focusing on both the continuum limit accessed via shall…

quant-ph2026

Enhanced sensing of a weak Stark field under the influence of Aubry-André-Harper criticality

Ayan Sahoo, Debraj Rakshit

The localization transition can be exploited as a resource for achieving quantum-enhanced sensitivity in parameter estimation. We demonstrate that by employing different classes of…