Research

 

Research Interest Areas

Current:

  • theoretical quantum physics and computing: quantum algorithms, quantum games;
  • science communication, education, and outreach

Past:

  • foundations of quantum physics, temporal correlations, non-locality;
  • soft computing: neural networks, fuzzy systems, quantum-inspired soft systems

Quantum Apps

The D&D μStarter Kit

This is a helper tool for players of Dungeons and Dragons. Roll dice, generate a character with an ad-libbed one-line backstory, or play a complete ad-libbed D&D scene! The D&D μStarter Kit makes use of quantum computing for randomness and ad-libs, alongside user inputs. This generator is based on the D&D 5E Player’s Handbook.

Functionalities:

  • A character generator that provides a race, class, name, and a one-line ad-libbed backstory
  • A dice roller to determine ability scores or to use during gameplay
  • An ad-libbed D&D scene

App link: https://qdnd.herokuapp.com/

Github repo: https://github.com/quantum-kittens/dnd-mustarter-kit

Made with Soham Pal.

 

Quantum Writing Prompt Generator

This app was made for Gotham Writers’ Workshop. It provides a writing prompt of the form “A <character> who <situation>.” randomly generated by a quantum computer.

App link: https://promptgen.herokuapp.com/

Github repo: https://github.com/quantum-kittens/dnd-mustarter-kit

Made with Soham Pal.

Publications

Dissertations

  • PhD in Theoretical Quantum Physics: “Elements of Non-classicality in Multi-level Systems”
    • 2018 – Indian Institute of Technology, Delhi & Dayalbagh Educational Institute, Agra
  • MPhil. in Computer Science: “Soft and Quantum-inspired Hybrid Models for Function Approximation and Pattern Classification” 
    • 2009 – Dayalbagh Educational Institute, Agra
  • MSc. in Computer Science: “A Study of Fuzzy-Rough Attribute Reduction and Quantum Fuzzy-Neural Networks”
    • 2008 – Dayalbagh Educational Institute, Agra

Journals

  • R. P. Sandhir. “State-independent Quantum Key Distribution with Two-way Classical Communication.” Quantum Information and Computation, 2019, vol. 19, no. 15 & 16, doi:0.26421/QIC19.15-16 .

  • R. P. Sandhir, and V. Ravishankar. “Weak classicality in coupled N-level quantum systems.” The European Physical Journal D , 2019, vol.73, 119. doi:10.1140/epjd/e2019-100007-4 .

  • R. P. Sandhir, S. Adhikary, and V. Ravishankar. “CGLMP and Bell-CHSH formulations of non-locality: a comparative study.” Quantum Information Processing, 2017, vol.16, no.10, 263. doi:10.1007/s11128- 017-1712-x.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak. “Dynamic fuzzy c-means (dFCM) clustering and its application to calorimetric data reconstruction in high-energy physics.” Nuclear Instruments and Methods in Physics Research Section A, 2012, vol.681, 34. doi:10.1016/j.nima.2012.04.023

Conferences

  • R. P. Sandhir.“Does CGLMP generalize Bell-CHSH in higher dimensions?” Young Quantum – 2017, Allahabad, India, 27 February – 01 March, 2017.
  • R. P. Sandhir and V. Ravishankar.“Non-locality in Coupled N-level Systems.” International School and Conference on Quantum Information, Bhubaneswar, India, 9-18 February, 2016.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak.“Fuzzy Clustering for High Energy Physics Data.” 6th International Conference on Physics and Astrophysics of Quark Gluon Plasma (ICPAQGP 2010), Goa, India, 5-10 December, 2010.
  • R. P. Sandhir, S. Muhuri, and T. K. Nayak. “A Fuzzy Clustering Technique for Calorimetric Data Reconstruction.” Proc. DAE Symposium on Nuclear Physics, Pilani, India, 20-24 December, 2010.
  • R. P. Sandhir and S. Kumar. “Dynamic Fuzzy c-Means (dFCM) Clustering for Continuously Varying Data Environments.” Proc. IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010.
  • R. P. Sandhir and S. Kumar. “Fuzzy-Rough Entropy Based Support Vector Machine Design Using an Evolutionary Algorithm.” Proc. Joint International Conference on Applied Systems Research and the XXXIII National Systems Conference, Systems Society of India, Agra, India, 27-29 November, 2009.
  • R. P. Sandhir, S. Kumar, and L. Singh. “Evolutionary Support Vector Machine Classifier Design with Automatic Feature Selection using Fuzzy-Rough Entropy.” IEEE Congress on Evolutionary Computation, Norway, 18-21 May, 2009.
  • R. P. Sandhir, S. Kumar, and L. Singh. “A Parallel Implementation of Fuzzy-Rough Attribute Reduction Algorithm.” Proc. National Systems Conference, Systems Society of India, Roorkee, 17-19 December, 2008.
  • R. P. Sandhir. “On the Effect of Set Density, Parameters and Operators on Reduct Identification Using Fuzzy-Rough Sets.” Proc. Paritantra, SSI Students’ Conference, Agra, 30 March, 2008.