Abstract: Last few years have seen tremendous progress in the development of technologies towards making of a quantum computer.

Abstract: We are in the midst of a major data revolution. The total data generated by humans from the dawn of civilization until the turn of the new millennium is now being generated every other day.

Abstract: The advent of big data necessitated design of algorithms that could cope with it.  Streaming algorithms are viable for big data because they process their input sequentially and use a small amount of working memory.  In

Abstract: We consider the problem of exact learning of $k$-Fourier sparse Boolean functions.

Abstract: Randomness is a vital tool and resource in both classical and quantum information processing. However, constructing random bits is expensive, and hence minimising their use is desirable.