34 citations · 153 across the 43 of their papers we have counts for
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Process, Bias and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning
Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty +1
Analog computing is attractive compared to digital computing due to its potential for achieving higher computational density and higher energy efficiency. However, unlike digital c…
SQ-CARS: A Scalable Quantum Control and Readout System
Ujjawal Singhal, Shantharam Kalipatnapu, Pradeep Kumar Gautam +5
Qubits are the basic building blocks of a quantum processor which require electromagnetic pulses in giga hertz frequency range and latency in nanoseconds for control and readout. I…
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning
Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty +1
Bias-scalable analog computing is attractive for implementing machine learning (ML) processors with distinct power-performance specifications. For instance, ML implementations for…