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Quantum High Performance Simulations Research Scientist, Quantum AI

Google

Google

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Software Engineering, Data Science
Goleta, CA, USA
Posted on Friday, February 9, 2024

Minimum qualifications:

  • PhD in Quantum Physics, Quantum Computing, Computational Physics, Computational Quantum Chemistry, or equivalent practical experience.
  • Experience in practical research applying Tensor network algorithms such as Matrix Product State (MPS), Multi-Scale Entanglement Renormalization Ansatz (MERA), or Projected Entangled Pair States (PEPS).
  • Experience with programming in Python.
  • Published research papers on applying Tensor network algorithms [e.g., MPS, MERA, or PEPS].

Preferred qualifications:

  • Experience in Quantum Computing theory, Quantum Information theory and Condensed Matter theory.
  • Experience with high-performance computing such as multi-CPU, GPU or multi-GPU, simulations of quantum many-body systems and/or of quantum computations, including both code development and execution of simulations.
  • Experience developing novel Tensor network algorithms.
  • Experience executing high-performance computing simulations such as multi-CPU, GPU or multi-GPU, based on Tensor network algorithms (e.g., MPS, DMRG, MERA, PEPS).

This job is no longer accepting applications

See open jobs at Google.