World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7363
World Ranking
7622
National Ranking
3303

Overview

Arvind is affiliated with MIT in the United States and primarily focuses their research on areas within Computer Science and Physics and Astronomy. Their work spans significant contributions to both fundamental and applied aspects of quantum science and technology.

Their main fields of study include:

  • Computer Science
  • Physics and Astronomy

Within these broader disciplines, Arvind has concentrated on several subfields such as:

  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Statistical and Nonlinear Physics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Arvind's research covers an extensive range of topics, especially focused on quantum science. The primary topics they investigate are:

  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Quantum Mechanics and Applications
  • Advanced Thermodynamics and Statistical Mechanics
  • Quantum and Electron Transport Phenomena
  • Quantum Optics and Atomic Interactions
  • Spectroscopy and Quantum Chemical Studies

Their recent publications provide insight into their research focus. Notable papers include:

  • "Implementing efficient selective quantum process tomography of superconducting quantum gates on IBM quantum experience," 2022, Scientific Reports
  • "True experimental reconstruction of quantum states and processes via convex optimization," 2020, arXiv (Cornell University)
  • "Role of Bell-CHSH violation and local filtering in quantum key distribution," 2021, Physics Letters A
  • "Do weak values capture the complete truth about the past of a quantum particle?," 2022, Physics Letters A
  • "Continuous-variable Clauser-Horne Bell-type inequality: A tool to unearth the nonlocality of continuous-variable quantum-optical systems," 2021, Physical Review A

Arvind frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Physical Review A
  • Quantum Information Processing
  • Physics Letters A
  • The European Physical Journal D

Their collaborations involve multiple coauthors with whom they have published extensively. Frequent coauthors include:

  • Kavita Dorai
  • Akshay Gaikwad
  • Krishna Shende
  • Chandan Kumar
  • Vaishali Gulati

Best Publications

  • Modern microprocessor built from complementary carbon nanotube transistors

    Gage Hills;Christian Lau;Andrew Wright;Samuel Fuller

  • Executing a program on the MIT tagged-token dataflow architecture

    Arvind;R.S. Nikhil

  • T: a multithreaded massively parallel architecture

    R. S. Nikhil;G. M. Papadopoulos;Arvind

  • An asynchronous programming language and computing machine

    Arvind;Kim P. Gostelow;Wil Plouffe

  • The U-Interpreter

    Arvind;Gostelow

  • Dataflow architectures

    Arvind;David E. Culler

  • BlueDBM: an appliance for big data analytics

    Sang-Woo Jun;Ming Liu;Sungjin Lee;Jamey Hicks

  • Resource requirements of dataflow programs

    D. E. Culler;Arvind

  • I-structures: Data structures for parallel computing

    Arvind;Rishiyur S. Nikhil;Keshav Pingali

  • Two Fundamental Issues in Multiprocessing

    Arvind;Robert A. Iannucci

  • MI6: Secure Enclaves in a Speculative Out-of-Order Processor

    Thomas Bourgeat;Ilia Lebedev;Andrew Wright;Sizhuo Zhang

  • Using term rewriting systems to design and verify processors

    Arvind;X. Shen

  • Kami: a platform for high-level parametric hardware specification and its modular verification

    Joonwon Choi;Muralidaran Vijayaraghavan;Benjamin Sherman;Adam Chlipala

  • Hardware Synthesis from Term Rewriting Systems

    James C. Hoe;Arvind

  • Building up to macroprogramming: an intermediate language for sensor networks

    Ryan Newton;Arvind;Matt Welsh

  • GraFboost: using accelerated flash storage for external graph analytics

    Sang-Woo Jun;Andy Wright;Sizhuo Zhang;Shuotao Xu

  • START-NG: Delivering Seamless Parallel Computing

    Derek Chiou;Boon Seong Ang;Robert Greiner;Arvind

  • Operation-centric hardware description and synthesis

    J.C. Hoe;Arvind

  • Synthesis of operation-centric hardware descriptions

    James C. Hoe;Arvind

  • High-level synthesis: an essential ingredient for designing complex ASICs

    Arvind;Rishiyur S. Nikhil;Daniel L. Rosenband;Nirav Dave

  • A critique of multiprocessing von Neumann style

    Arvind;Robert A. Iannucci

Frequent Co-Authors

David E. Culler
David E. Culler University of California, Berkeley
Keshav Pingali
Keshav Pingali The University of Texas at Austin
James C. Hoe
James C. Hoe Carnegie Mellon University
Matt Welsh
Matt Welsh Fixie.ai
Jihong Kim
Jihong Kim Seoul National University

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