Bharath Hebbe Madhusudhana

Tweezer

We explore automation of mechanical alignment using a new AI algorithm — the modified AM algorithm, inspired by the cross-walking of laser beams. 

A new, painted optical lattice to study mesoscopic Bose-Hubbard systems. This system has applications in lattice quantum gravimetry. See https://arxiv.org/abs/2511.15805 and https://arxiv.org/abs/2603.03426

I am also interested in finding practical quantum advantages (PQA) of near-term qUse a quantum simulator to develop quantum certified approximations (QCA) for many-body problems that don't have an efficient classical algorithm (see this paper and Applications to many-body physics for more details.)

The goal of this line of research is to develop a set of tools, which would allow us to look at an experimental dataset and efficiently determine what forms of errors are present in the experiment and in what proportion. 

RCM tomography is one such tool. See this paper and this paper.  A quantum process acting on N-qubits is represented by a 4^N x 4^N Choi matrix. We define the reduced Choi matrix (RCM) corresponding to a subset of the N qubits as the corresponding partial trace of the Choi matrix. Intuitively, the RCM represents the process as seen by the subsystem.