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

Amlan Ganguly, Sergi Abadal, Ishan Thakkar, Natalie Enright Jerger, Marc Riedel, Masoud Babaie, Rajeev Balasubramonian, Abu Sebastian, Sudeep Pasricha, Baris Taskin

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)40-49
Number of pages10
JournalIEEE Micro
Issue number3
Publication statusPublished - 2022


  • Computers
  • Deep learning
  • DNA
  • DNA Computing
  • In-Memory Computing
  • Integrated circuit interconnections
  • Optical Computing
  • Photonic Interconnects
  • Quantum Computing
  • Qubit
  • Topology
  • Wireless communication
  • Wireless Interconnects


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