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Computer Science

D-Index
42
Citations
18232
World Ranking
8144
National Ranking
3488

Overview

Rupak Biswas is a researcher affiliated with the Ames Research Center in the United States. Their academic contributions span key areas within computer science, with a particular focus on artificial intelligence and hardware and architecture. This scope reflects in the topics and subfields in which they have published.

The primary fields of study associated with their work include:

  • Computer Science

More specifically, their research covers subfields such as:

  • Artificial Intelligence
  • Hardware and Architecture

The main topics Rupak Biswas has worked on are:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Parallel Computing and Optimization Techniques

Among their scholarly outputs, one recent publication stands out:

  • Assessing and advancing the potential of quantum computing: A NASA case study (2024), published in Future Generation Computer Systems

This paper has been cited by other researchers, indicating engagement with the scientific community in their topic area.

Rupak Biswas has collaborated with several frequent co-authors, which reflects the interdisciplinary and collaborative nature of their work. The notable co-authors include:

  • Eleanor Rieffel
  • Ata Akbari Asanjan
  • M. Sohaib Alam
  • Namit Anand
  • David E. Bernal Neira

Their publications have appeared in specialized venues, with Future Generation Computer Systems being a significant outlet for their research.

Best Publications

  • Quantum supremacy using a programmable superconducting processor

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Supplementary information for "Quantum supremacy using a programmable superconducting processor"

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

    Stuart Hadfield;Zhihui Wang;Bryan O'Gorman;Eleanor Gilbert Rieffel

  • Parallel, adaptive finite element methods for conservation laws

    Rupak Biswas;Karen D. Devine;Joseph E. Flaherty

  • High performance computing using MPI and OpenMP on multi-core parallel systems

    Haoqiang Jin;Dennis Jespersen;Piyush Mehrotra;Rupak Biswas

  • Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

    Alejandro Perdomo-Ortiz;Marcello Benedetti;John Realpe-Gómez;John Realpe-Gómez;Rupak Biswas

  • Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning

    Marcello Benedetti;John Realpe-Gómez;Rupak Biswas;Alejandro Perdomo-Ortiz

  • Establishing the quantum supremacy frontier with a 281 Pflop/s simulation

    Benjamin Villalonga;Benjamin Villalonga;Benjamin Villalonga;Dmitry I. Lyakh;Sergio Boixo;Hartmut Neven

  • Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

    Marcello Benedetti;Marcello Benedetti;John Realpe-Gómez;John Realpe-Gómez;Rupak Biswas;Alejandro Perdomo-Ortiz

  • Tetrahedral and hexahedral mesh adaptation for CFD problems

    Rupak Biswas;Roger C. Strawn

  • PLUM: parallel load balancing for adaptive unstructured meshes

    Leonid Oliker;Rupak Biswas

  • A de-centralized scheduling and load balancing algorithm for heterogeneous grid environments

    M. Arora;S.K. Das;R. Biswas

  • A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware

    Benjamin Villalonga;Benjamin Villalonga;Benjamin Villalonga;Sergio Boixo;Bron Nelson;Christopher Henze

  • Job Superscheduler Architecture and Performance in Computational Grid Environments

    Hongzhang Shan;Leonid Oliker;Rupak Biswas

  • Performance evaluation of Amazon EC2 for NASA HPC applications

    Piyush Mehrotra;Jahed Djomehri;Steve Heistand;Robert Hood

  • A new procedure for dynamic adaption of three-dimensional unstructured grids

    Rupak Biswas;Roger C. Strawn

  • Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management

    Tobias Stollenwerk;Bryan OGorman;Davide Venturelli;Salvatore Mandra

  • Load balancing across near-homogeneous multi-resource servers

    W. Leinberger;G. Karypis;V. Kumar;R. Biswas

  • A NASA perspective on quantum computing

    Rupak Biswas;Zhang Jiang;Kostya Kechezhi;Sergey Knysh

  • A Divide-and-Conquer/Cellular-Decomposition Framework for Million-to-Billion Atom Simulations of Chemical Reactions

    Aiichiro Nakano;Rajiv K. Kalia;Ken ichi Nomura;Ashish Sharma

  • Parallel processing of adaptive meshes with load balancing

    S.K. Das;D.J. Harvey;R. Biswas

Frequent Co-Authors

Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Eleanor Rieffel
Eleanor Rieffel Ames Research Center
Hartmut Neven
Hartmut Neven Google (United States)
Guang R. Gao
Guang R. Gao University of Delaware
John Shalf
John Shalf Lawrence Berkeley National Laboratory
Michael J. Aftosmis
Michael J. Aftosmis Ames Research Center
Xiaoye S. Li
Xiaoye S. Li Lawrence Berkeley National Laboratory
Alexander N. Korotkov
Alexander N. Korotkov Google (United States)
John M. Martinis
John M. Martinis University of California, Santa Barbara

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