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Physics Expert (Condensed Matter / Quantum Information)

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano2 sierpnia 2026
Wykryte przez nas
Wykryte przez nas3 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

micro1 is seeking highly skilled Physics Experts specializing in Condensed Matter and Quantum Information to contribute to a frontier research-level physics benchmark project. In this role, you will apply your deep domain knowledge to help train next-generation AI systems, shaping how models learn and reason through high-quality, real-world scientific input.

Key responsibilities

  • Develop and analyze exact diagonalization implementations using translation and reflection symmetries, with a focus on QuSpin and large system sizes.
  • Construct and manipulate block-diagonalized subspaces for complex quantum systems to optimize computational efficiency.
  • Evaluate overlaps with Z2 states and interpret physical insights regarding constrained quantum dynamics.
  • Produce detailed written feedback, analytic reports, and assessments for research benchmarks on quantum many-body scars and Rydberg blockade phenomena.
  • Serve as a Solver, Auditor, or Adjudicator based on your specific subfield alignment and seniority.

Requirements

  • Advanced academic background, such as a PhD, in condensed matter physics, quantum information, or a closely related field.
  • Proven expertise in exact diagonalization techniques and experience working with symmetries for large system sizes.
  • Strong understanding of quantum many-body scars, Rydberg blockade, and constrained quantum dynamics.
  • Demonstrated ability to perform block-diagonalization of Hamiltonians and analyze numerical results.

What we offer

  • The opportunity to work on cutting-edge AI research at the intersection of physics and machine learning.
  • A fully remote work environment that values your specialized academic and research expertise.
  • Engagement in high-impact projects that influence the development of advanced computational models.

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