Nikhil Bansal

On a very high level, our proof requires three ingredients (in the figure below). This allows us to generalise our techniques and prove cloning lower bounds for instances of specific Abelian StateHSPs. 13/⚛️

But modern quantum learning theory deals with structured classes of states and exploits such structure to do better than general tomography. Here, one may ask how does cloning and learning sample complexities relate to each other for these structured classes of states. 5/⚛️

Can quantum cloning be easier than learning for structured classes of states❓ We ask this question for stabilizer states in our recent work: arxiv.org/abs/2604.15269. 1/⚛️

I am happy to share that last week I joined @WarwickDCS as a PhD student where, I will be working on various aspects of Quantum learning theory.

8/n In addition, we show that non-negligible (inverse polynomial) purity of states is necessary for testing of above-mentioned resources. Is it sufficient? We left this as an open question.

I am very happy to share that I have graduated with a Master of Science in Physics from Indian Institute of Science Education and Research Mohali. The journey has been full of interesting challenges, invaluable & fun learning experience and exploration of various research fields.

And so it ended. Had a really great time in the workshop. #QuantumResources2023

teaching credits: @Navdeep_S_D

Gave a talk on "Introduction to Quantum Computing" at IISER Mohali, a @Turing_IISERM x @phyclub_iiserm Club event. Great to see around 130 people tuning in for the talk(mostly the new batch). Hope this enthusiasm towards quantum computer just grows from here on.