Jobs · Science · California

Applied Scientist, Quantum Algorithms, Center for Quantum Computing

Amazon · Pasadena, CA · Today
ScienceFull-time

About the role

The Quantum Algorithms Team at the Amazon Web Services (AWS) Center for Quantum Computing (CQC) is looking to hire an Applied Scientist. This role involves conducting theoretical research into applications of fault-tolerant quantum computers and developing new quantum algorithms.

Responsibilities

  • Collaborate with other members of the Quantum Algorithms Team and our academic collaborators to analyze and optimize existing quantum algorithms
  • Think big to invent new quantum algorithms and discover new application areas for fault-tolerant quantum computers
  • Provide subject matter expertise on the topic of quantum algorithms and communicate the latest developments to the broader quantum computing team
  • Work with internal and external stakeholders to strengthen the long-term value proposition of quantum computing
  • Interact with the Quantum Error Correction team to understand the interplay between quantum algorithms and quantum error correction
  • Publish research papers in scientific journals and present at conferences
  • Mentor research interns working on scientific projects

Qualifications

  • Currently has, or is in the process of obtaining, a PhD in operations research, applied mathematics, theoretical computer science, or equivalent
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Domain expertise in prominent quantum applications fields, such as quantum chemistry, simulation, machine learning, optimization, cryptography, sensing, differential equations, etc.
  • Deep understanding of the impact of quantum error correction on the execution of quantum algorithms
  • Experience with high-performance computing, or machine learning techniques
  • Experience performing resource estimates to quantify the costs of running quantum applications within a given hardware architecture

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