activity
20122026
most citedEnergy Cost of Creating Quantum Coherence

94 citations · 498 across the 40 of their papers we have counts for

collaborators

42 papers

quant-ph2026

Optical interferometric tools for probing memory effects

Saheli Mukherjee, Bivas Mallick, Samyadeb Bhattacharya +2

Recent efforts to detect non-Markovian memory have become increasingly important, motivated by the broad relevance of memory effects in quantum information processing, metrology, a…

quant-ph2026

Extracting Work from Discrete Quantum Polytropic Processes

Vishal Anand, Swarup Kumar Giri, Avijit Misra +2

We establish an upper bound on extractable work for time-dependent, non-Markovian quantum heat engines operating with finite baths. This bound analytically isolates the distinct th…

quant-ph2025

Unravelling the non-Markovian spin-boson model and quantum quasi-Otto cycle

Shreyas Harshal Pradhan, Hadi Mohammed Soufy, Vishal Anand +3

We use the spin-boson model to describe the dynamics of a two-level atom interacting with Fabry-Pérot cavity modes. We solve the Schrödinger equation for the system-bath model with…

quant-ph2024★ 9 cited

Quantum Thermal Analogs of Electric Circuits: A Universal Approach

Devvrat Tiwari, Samyadeb Bhattacharya, Subhashish Banerjee

In this work, we develop a panoramic schematic of quantum thermal analogs of electric circuits in the steady state regime. We establish the foundations of said premise by defining…

quant-ph2024★ 6 cited

Exploring Non-Markovianity in Ergodic Channels: Measuring Memory Retention through Ergotropy

Ritam Basu, Anish Chakraborty, Himanshu Badhani +2

In this work we introduce and characterize a broad class of quantum operations with a unique fixed point, termed quantum ergodic channels. We derive Lindblad-type master equations…

quant-ph2024★ 7 cited

Using Quantum Switches to Mitigate Noise in Grover's Search Algorithm

Suryansh Srivastava, Arun K. Pati, Samyadeb Bhattacharya +1

Grover's quantum search algorithm promises a quadratic speedup for unstructured search over its classical counterpart. But this advantage is affected by noise acting on the search…