activity
20072023
most citedDetection of quantum critical points by a probe qubit

106 citations · 198 across the 6 of their papers we have counts for

collaborators

6 papers

physics.gen-ph2023

Interacting cosmic strings and Dark matter-For the case of missing stars

Natarajan Shriethar, Nageswaran Rajendran

This work discusses a few theories including the interaction of dark matter, cosmic strings, and locally coupled dark energy. The paper also examines mathematical models used to de…

quant-ph2013

Entanglement dynamics in a system attached to self-interacting spinbaths

Nageswaran Rajendran

Dynamics of quantum entanglement shared between system spins which are connected to thermal equilibrium baths is studied. Central spin system comprises of the entangled spins, and…

quant-ph2007★ 106 cited

Detection of quantum critical points by a probe qubit

Jingfu Zhang, Xinhua Peng, Nageswaran Rajendran +1

Quantum phase transitions occur when the ground state of a quantum system undergoes a qualitative change when an external control parameter reaches a critical value. Here, we demon…

quant-ph2007★ 30 cited

Iterative quantum state transfer along a chain of nuclear spin qubits

Jingfu Zhang, Nageswaran Rajendran, Xinhua Peng +1

Transferring quantum information between two qubits is a basic requirement for many applications in quantum communication and quantum information processing. In the iterative quant…

quant-ph2007★ 19 cited

Effect of system level structure and spectral distribution of the environment on the decoherence rate

Jingfu Zhang, Xinhua Peng, Nageswaran Rajendran +1

Minimizing the effect of decoherence on a quantum register must be a central part of any strategy to realize scalable quantum information processing. Apart from the strength of the…

quant-ph2007★ 43 cited

Factorizing Numbers with the Gauss Sum Technique: NMR Implementations

T. S. Mahesh, Nageswaran Rajendran, Xinhua Peng +1

Several physics-based algorithms for factorizing large number were recently published. A notable recent one by Schleich et al. uses Gauss sums for distinguishing between factors an…