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D-Index & Metrics

Computer Science

D-Index
55
Citations
10573
World Ranking
4362
National Ranking
2038

Research.com Recognitions

  • 2014 - ACM Senior Member

Overview

Krysta M. Svore is affiliated with Microsoft in the United States, focusing primarily on research within computer science. Their work is concentrated in several interconnected subfields including artificial intelligence, computational theory and mathematics, atomic and molecular physics and optics, hardware and architecture, and materials chemistry.

The core themes of their research involve quantum computing algorithms and architecture, quantum information and cryptography, quantum-dot cellular automata, quantum mechanics and applications, parallel computing and optimization techniques, graphene research and applications, and error correcting code techniques.

Recent notable publications by Krysta M. Svore include the following:

  • "Circuit-centric quantum classifiers", 2020, Physical review. A/Physical review, A
  • "Quantum programming languages", 2020, Nature Reviews Physics
  • "Cost of Universality: A Comparative Study of the Overhead of State Distillation and Code Switching with Color Codes", 2021, PRX Quantum
  • "Assessing requirements to scale to practical quantum advantage", 2022, arXiv (Cornell University)
  • "Demonstration of logical qubits and repeated error correction with better-than-physical error rates", 2024, arXiv (Cornell University)

Frequent co-authors involved in Svore's research endeavors include:

  • Marcus P. da Silva
  • Adam Paetznick
  • Nicolas Delfosse
  • Maximilian Zanner
  • Andres Paz

The main venues for their published work are:

  • arXiv (Cornell University)
  • Physical review. A/Physical review, A
  • Nature Reviews Physics
  • PRX Quantum
  • IEEE Transactions on Information Theory

Within their field of computer science, Krysta M. Svore has contributed to a total of 35 publications, with 25 in artificial intelligence, 5 in computational theory and mathematics, 4 in atomic and molecular physics and optics, 2 in hardware and architecture, and 1 in materials chemistry. Their research topics are predominantly centered on quantum-related areas, including 26 publications on quantum computing algorithms and architecture and 20 on quantum information and cryptography.

Krysta M. Svore was recognized as an ACM Senior Member in 2014.

Best Publications

  • Circuit-centric quantum classifiers

    Maria Schuld;Alex Bocharov;Krysta M. Svore;Nathan Wiebe;Nathan Wiebe;Nathan Wiebe

  • Elucidating reaction mechanisms on quantum computers

    Markus Reiher;Nathan Wiebe;Krysta M. Svore;Dave Wecker

  • Adapting boosting for information retrieval measures

    Qiang Wu;Christopher J. Burges;Krysta M. Svore;Jianfeng Gao

  • Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources

    Krysta Svore;Lucy Vanderwende;Christopher Burges

  • Q#: Enabling Scalable Quantum Computing and Development with a High-level DSL

    Krysta Svore;Alan Geller;Matthias Troyer;John Azariah

  • A logarithmic-depth quantum carry-lookahead adder

    Thomas G. Draper;Samuel A. Kutin;Eric M. Rains;Krysta M. Svore

  • One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses

    Katherine Heller;Krysta Svore;Angelos D. Keromytis;Salvatore Stolfo

  • Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning

    Nathan Wiebe;Ashish Kapoor;Krysta M. Svore

  • LIQUi|>: A Software Design Architecture and Domain-Specific Language for Quantum Computing.

    Dave Wecker;Krysta M. Svore

  • Q#: Enabling scalable quantum computing and development with a high-level domain-specific language

    Krysta M. Svore;Alan Geller;Matthias Troyer;John Azariah

  • A layered software architecture for quantum computing design tools

    K.M. Svore;A.V. Aho;A.W. Cross;I. Chuang

  • A software methodology for compiling quantum programs

    Thomas Häner;Damian S. Steiger;Krysta M. Svore;Matthias Troyer;Matthias Troyer

  • Quantum Speed-Ups for Solving Semidefinite Programs

    Fernando G.S.L. Brandao;Krysta M. Svore

  • Quantum deep learning

    Nathan Wiebe;Ashish Kapoor;Krysta M. Svore

  • Understanding temporal query dynamics

    Anagha Kulkarni;Jaime Teevan;Krysta M. Svore;Susan T. Dumais

  • Learning to Rank Using an Ensemble of Lambda-Gradient Models

    Christopher J. C. Burges;Krysta Marie Svore;Paul N. Bennett;Andrzej Pastusiak

  • Efficient synthesis of universal repeat-until-success quantum circuits.

    Alex Bocharov;Martin Roetteler;Krysta M. Svore

  • Quantum Resource Estimates for Computing Elliptic Curve Discrete Logarithms.

    Martin Roetteler;Michael Naehrig;Krysta M. Svore;Kristin E. Lauter

  • Modeling and predicting behavioral dynamics on the web

    Kira Radinsky;Krysta Svore;Susan Dumais;Jaime Teevan

  • Faster phase estimation

    Krysta M. Svore;Matthew B. Hastings;Michael Freedman

  • Ranking, Boosting, and Model Adaptation

    Chris J. C. Burges;Krysta M. Svore;Qiang Wu;Jianfeng Gao

  • Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning

    Fernando G. S. L. Brandão;Amir Kalev;Tongyang Li;Cedric Yen-Yu Lin

  • Elucidating Reaction Mechanisms on Quantum Computers

    Nathan Wiebe;Markus Reiher;Krysta Svore;Dave Wecker

Frequent Co-Authors

Nathan Wiebe
Nathan Wiebe University of Toronto
Matthias Troyer
Matthias Troyer Microsoft (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Christopher J. C. Burges
Christopher J. C. Burges Microsoft (United States)
Alfred V. Aho
Alfred V. Aho Columbia University
Paul N. Bennett
Paul N. Bennett Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Susan T. Dumais
Susan T. Dumais Microsoft (United States)
Jaime Teevan
Jaime Teevan Microsoft (United States)
David P. DiVincenzo
David P. DiVincenzo RWTH Aachen University

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