Condensed Matter Physicist for AI Training
$80 - $160 per hourSaidGig
Role Overview
Apply advanced condensed matter and quantum information expertise to help train next-generation AI systems through a frontier research benchmark focused on the PXP model, Rydberg blockade, quantum many-body scars, and constrained dynamics. No prior AI experience is required.
Key Responsibilities
- Develop and analyze exact diagonalization implementations using translation and reflection symmetries, preferably with QuSpin, for system sizes L ≥ 26.
- Construct and manipulate block-diagonalized subspaces for complex quantum systems while optimizing computational efficiency and fidelity.
- Evaluate overlaps with Z2 states and interpret the resulting physical insights in constrained quantum dynamics.
- Provide detailed written feedback, analytic reports, and research-benchmark assessments related to quantum many-body scars and Rydberg blockade phenomena.
- Contribute as a Solver, Auditor, or Adjudicator based on subfield alignment, hands-on methods expertise, and seniority.
Qualifications
- Advanced academic background, PhD or equivalent practical experience, in condensed matter physics, quantum information, or a closely related field.
- Proven exact diagonalization expertise, including QuSpin and symmetry methods for large system sizes.
- Demonstrated ability to block-diagonalize Hamiltonians and work within large Hilbert-space subspaces.
- Strong understanding of quantum many-body scars, Rydberg blockade, and constrained quantum dynamics.
- Experience analyzing overlaps with Z2 or related quantum states and interpreting numerical results.
Work Terms
- Remote independent contractor engagement.
Compensation
- $80 to $160 per hour.
Vacancy posted 17 days ago
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