World's Best Scientists 2026 revealed!

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Computer Science

D-Index
76
Citations
38612
World Ranking
1315
National Ranking
694

Overview

Hartmut Neven is affiliated with Google in the United States. Their research spans multiple domains within computer science and physics, with a focus on quantum computing and related fields.

Neven's main fields of study include:

  • Computer Science
  • Physics and Astronomy

The scientist's subfields of study reflect a blend of quantum physics and advanced computational theory, including:

  • Artificial Intelligence
  • Atomic and Molecular Physics, and Optics
  • Computational Theory and Mathematics
  • Nuclear and High Energy Physics
  • Statistical and Nonlinear Physics

The primary topics covered in their work focus on quantum technologies and their computational applications. These topics are:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum many-body systems
  • Quantum and electron transport phenomena
  • Neural Networks and Reservoir Computing
  • Quantum-Dot Cellular Automata
  • Quantum Mechanics and Applications

Neven has contributed frequently to several scientific venues. The most common publication platforms are:

  • arXiv (Cornell University)
  • Nature
  • Science
  • PRX Quantum
  • Physical Review Letters

Significant recent papers authored or coauthored by Neven include:

  • "Quantum advantage in learning from experiments," 2022, Science
  • "Data for 'Realizing topologically ordered states on a quantum processor'," 2021, Zenodo (CERN European Organization for Nuclear Research)
  • "Exponential suppression of bit or phase errors with cyclic error correction," 2021, Nature
  • "Time-crystalline eigenstate order on a quantum processor," 2021, Nature
  • "TensorFlow Quantum: A Software Framework for Quantum Machine Learning," 2020, arXiv (Cornell University)

Collaborations form a significant part of Neven's work, with frequent coauthors including:

  • Ryan Babbush
  • Sergio Boixo
  • Vadim Smelyanskiy
  • Jarrod R. McClean
  • Kevin J. Satzinger

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

  • Barren Plateaus in Quantum Neural Network Training Landscapes

    Jarrod R. McClean;Sergio Boixo;Vadim N. Smelyanskiy;Ryan Babbush

  • Characterizing quantum supremacy in near-term devices

    Sergio Boixo;Sergei V. Isakov;Vadim N. Smelyanskiy;Ryan Babbush

  • Scalable Quantum Simulation of Molecular Energies

    Peter O'Malley;Ryan Babbush;Ian Kivlichan;Jonathan Romero

  • Power of data in quantum machine learning

    Hsin-Yuan (Robert) Huang;Hsin-Yuan (Robert) Huang;Michael Blythe Broughton;Masoud Mohseni;Ryan Babbush

  • Hartree-Fock on a superconducting qubit quantum computer

    Frank Arute;Kunal Arya

  • Hartree-Fock on a superconducting qubit quantum computer

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • What is the Computational Value of Finite Range Tunneling

    Vasil S. Denchev;Sergio Boixo;Sergei V. Isakov;Nan Ding

  • PhotoOCR: Reading Text in Uncontrolled Conditions

    Alessandro Bissacco;Mark Cummins;Yuval Netzer;Hartmut Neven

  • A blueprint for demonstrating quantum supremacy with superconducting qubits.

    C. Neill;P. Roushan;K. Kechedzhi;K. Kechedzhi;S. Boixo

  • Face recognition from video images

    Egor Valerievich Elagin;Thomas Maurer;Hartmut Neven

  • Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

    Matthew P. Harrigan;Kevin J. Sung;Kevin J. Sung;Matthew Neeley;Kevin J. Satzinger

  • Large-Scale Object Classification Using Label Relation Graphs

    Jia Deng;Jia Deng;Nan Ding;Yangqing Jia;Andrea Frome

  • Classification with Quantum Neural Networks on Near Term Processors

    Edward Farhi;Hartmut Neven

  • Tour the world: Building a web-scale landmark recognition engine

    Yan-Tao Zheng;Ming Zhao;Yang Song;Hartwig Adam

  • Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Image-based search engine for mobile phones with camera

    Hartmut Neven

  • Quantum advantage in learning from experiments.

    Hsin-Yuan Huang;Michael Broughton;Jordan Cotler;Sitan Chen

  • Mobile image-based information retrieval system

    Hartmut Neven

  • A blueprint for demonstrating quantum supremacy with superconducting qubits

    C. Neill;P. Roushan;K. Kechedzhi;S. Boixo

  • SISTEMA Y PROCEDIMIENTO MULTIBIOMETRICOS BASADOS EN UNA UNICA IMAGEN.

    Neven Hartmut;Hartwig Adam

Frequent Co-Authors

John M. Martinis
John M. Martinis University of California, Santa Barbara
Austin G. Fowler
Austin G. Fowler Google (United States)
Rami Barends
Rami Barends Google (United States)
Daniel Sank
Daniel Sank Google (United States)
Hartwig Adam
Hartwig Adam Google (United States)
Amit Vainsencher
Amit Vainsencher Google (United States)
Alexander N. Korotkov
Alexander N. Korotkov Google (United States)
Nathan Wiebe
Nathan Wiebe University of Toronto
Seon Jeong Kim
Seon Jeong Kim Hanyang University

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