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Professor Sarpeshkar's interdisciplinary research uses analog circuits and analog computation as a universal language to design advanced quantum, bio-molecular, and nano-electronic circuits and systems, from atom to living cell. These systems are experimentally implemented in living synthetic microbial DNA-RNA-protein circuits in his wet lab, and in nano-electronic supercomputing chips that simulate biological and quantum computation in his dry lab. They also aid in the design of novel superconducting or NMR dynamical systems. Many common circuit themes in analog, physical, and biological computation include noise and thermodynamics, fault tolerance, feedback control, back action and loading, entanglement and correlation, precision measurement, nonlinear dynamics, robustness-efficiency tradeoffs, scalability, and hybrid quantum-classical operation. Professor Sarpeshkar recently filed four important patents on quantum computation with analog circuits and has just been elected to the National Academy of Inventors.
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IEEE Transactions on Molecular, Biological and Multi-Scale Communicationsno. 1 (2023): 28-48
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)pp.1-5, (2023)
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