Research Interest Areas


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


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

Quantum Apps / Games

Doctor Cat


Game link:

Doctor Who meets quantum superposition in this minimal Bitsy game. Oh, and the Doctor is a cat.


You just saved a distant planet from giant sentient balls of yarn. It’s time to return home to present-day Earth for a well-deserved nap… but the Tardis has been giving trouble lately. Every time you input destination coordinates, the Tardis puts multiple potential destinations in a quantum superposition, so you don’t always end up where you want to go!

Version 1.0

There’s just one storyline for now, but I hope to add a few branches down the line.

Game Engine

Made with Bitsy


The Quantum Bubble Art Generator

This generates bubble are that is a creative visualization of quantum noise.

App link:

Explanatory article: How I Use Quantum Computing to Create Bubble Art.

Github repo:

Made with James Wootton.

The Photonic Trail


A web-based educational game published on QPlayLearn.

The Photonic Trail is an immersive quantum optics single-player fantasy game that allows anyone from beginners to seasoned pros inculcate quantum optics concepts through game play. It is a treasure hunt with six missions that span the basics of quantum optics. I was responsible for: the concept and stories, art direction, the trailer, building the UI, and part of the physics.

Each mission is a locked webpage. If you’d like to read through the stories, I’ve written the password in white-simply highlight them!

Full credits:

Radha Pyari Sandhir (Concept, Stories & World Building, Physics)
Sibel Kantola (Art & World Building)
Caterina Foti (Physics)
Daria Attila (Physics)
Quantum Flytrap team: Piotr Migdał, Klem Jankiewicz, Paweł Grabarz


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.


  • 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:

Github repo:

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:

Github repo:

Made with Soham Pal.



  • 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



  • 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.