## Cohen, Doron

##### Faculty

- dcohen@bgu.ac.il
- Office
- 54/005 54/310
- Phone
- 08-6472459

08-6477557 - Website
- http://www.bgu.ac.il/~dcohen
- Research type
- Theoretical
- Research topics
Quantum chaos; Driven mesoscopic systems; Interplay of stochastic and coherent dynamics.

- Researcher identification
- ORCID

### Research group

- MSc student, Ben Avnit
- PhD student, Yehoshua Winsten

### Past postdocs *

### Past graduate students *

- Dmitry Boriskovsky, MSc (2021)
- Dekel Shapira, PhD (2020)
- Isaac Weinberg, MSc (2018)
- Geva Arwas, PhD (2018)
- Gitit Feingold, MSc (2018)
- Daniel Hurowitz, PhD (2016)
- Yaron De Leeuw, MSc (2013)
- Geva Arwas, MSc (2013)
- Daniel Hurowitz, MSc (2012)
- Dotan Davidovitch, MSc (2012)
- Maya Chuchem, PhD (2012)
- Alexander Stotland, PhD (2010)
- Itamar Sela, PhD (2010)
- Maya Chuchem, MSc (2008)
- Yoav Etzioni, MSc (2006)
- Itamar Sela, MSc (2006)
- Chen Sarig, MSc (2006)
- Alexander Stotland, MSc (2005)

### Past undergraduate students *

* Past students / postdocs data might be incomplete## Research highlights

#### Superfluidity and thermalization in low dimensional Bose-Hubbard circuits

Circuits with condensed bosons can support superflow. Such circuits, if realized, will be used as QUBITs (for quantum computation) or as SQUIDs (for sensing of acceleration or gravitation). We are studying the feasibility and the design considerations for such devices. The key is to develop a theory for the superfluidity in an atomtronic circuit. Such theory goes beyond the traditional framework of Landau and followers, since is involves ''Quantum chaos'' considerations.

#### Non-equilibrium steady state of low-dimensional systems

It is possible to induce non-equilibrium steady state current, which required e.g. a radiation source. We have studied the non-monotonic dependence of the current on the intensity of the driving, and its statistical properties. We also have addressed questions that concern the relaxation of such current, and how it depends on percolation and localization properties of the model.