Aritra Sarkar

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Aritra Sarkar is a PhD candidate in the department of Quantum and Computer Engineering, Delft University of Technology. He received his Bachelor of Technology, in Avionics, at the Indian Institute of Space Science and Technology, in 2013. He worked at the Indian Space Research Organisation as a Scientist on on-board data management of satellites till 2016. After completing his Master of Science in Computer Engineering at TU Delft, in 2018, he joined the Faculty of Electrical Engineering, Mathematics and Computer Sciences, towards a Doctor of Philosophy. His research interests lie in algorithm design for quantum acceleration in experimental algorithmic information theory applications, specifically in artificial general intelligence and genoinformatics.

Some of the Current core research themes are:

Emergence - phase changes in computational complexity, gravity from quantum entanglement
Algorithmic Complexity - universality, expressibility, fractals, tensor networks
Artificial General Intelligence - recursive self-improvement, artificial life, explainable neural networks
Quantum Computation - quantum Hamiltonian complexity, quantum optimization, quantum learning theory
Soft-computing - hardness of approximate, neuro-evolution

Presentations:

2020-07-14: Quantum-accelerated genomics - prospects and impacts (Quantum for Healthcare MeetUp)
2020-04-28: QX Simulator and quantum programming (Electronics for Quantum Computing lecture at TU Delft)
2019-01-25: Genomics algorithms on digital NISQ accelerators (at Universitat Politècnica de València, Spain)
2019-01-23: HiPEAC'19 Tutorial on Quantum algorithms using QX (at València, Spain)
2018-06-22: Quantum algorithms for pattern matching in genomic sequences (M.Sc. thesis defence at TU Delft)