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Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion

Amlan Ganguly, Sergi Abadal, Ishan Thakkar, Natalie Enright Jerger, Marc D. Riedel, Masoud Babaie, Rajeev Balasubramonian, Abu Sebastian, Sudeep Pasricha, Barış Taşkın

2022IEEE Micro17 citationsDOIOpen Access PDF

Abstract

The computing world is witnessing a proverbial Cambrian explosion of emerging paradigms propelled by applications, such as artificial intelligence, big data, and cybersecurity. The recent advances in technology to store digital data inside a deoxyribonucleic acid (DNA) strand, manipulate quantum bits (qubits), perform logical operations with photons, and perform computations inside memory systems are ushering in the era of emerging paradigms of DNA computing, quantum computing, optical computing, and in-memory computing. In an orthogonal direction, research on interconnect design using advanced electro-optic, wireless, and microfluidic technologies has shown promising solutions to the architectural limitations of traditional von-Neumann computers. In this article, experts present their comments on the role of interconnects in the emerging computing paradigms, and discuss the potential use of chiplet-based architectures for the heterogeneous integration of such technologies.

Topics & Concepts

Computer scienceQuantum computerVon Neumann architectureDNA computingQubitUnconventional computingBig dataOptical computingComputer architectureComputationDistributed computingQuantumTheoretical computer scienceParallel computingElectronic engineeringPhysicsAlgorithmEngineeringQuantum mechanicsOperating systemQuantum-Dot Cellular AutomataNeural Networks and Reservoir ComputingAdvanced biosensing and bioanalysis techniques
Interconnects for DNA, Quantum, In-Memory, and Optical Computing: Insights From a Panel Discussion | Litcius