Expert en physique (matière condensée / information quantique)

Role Title: Physics Expert (Condensed Matter / Quantum Information)

Role Type: Contractor

Location: Remote

micro1 is engaging Physics Experts (Condensed Matter / Quantum Information) to contribute to a frontier research-level physics benchmark project focused on topics such as the PXP model, Rydberg blockade, quantum many-body scars, and constrained dynamics. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.

Scope of Work

• Develop and analyze exact diagonalization implementations leveraging translation and reflection symmetries, with a preference for QuSpin and system sizes L ≥ 26.
• Construct and manipulate block-diagonalized subspaces for complex quantum systems, optimizing computational efficiency and fidelity.
• Evaluate overlaps with Z2 states and interpret resulting physical insights in the context of constrained quantum dynamics.
• Contribute detailed written feedback, analytic reports, and assessments for research benchmarks related to quantum many-body scars and Rydberg blockade phenomena.
• Serve as a Solver, Auditor, or Adjudicator on the project, depending on subfield alignment, hands-on methods expertise, and seniority.

Preferred Qualifications

• Advanced academic background (PhD or equivalent practical experience) in condensed matter physics, quantum information, or a closely related field.
• Proven expertise in exact diagonalization techniques, including experience with QuSpin and symmetries for large system sizes.
• Demonstrated ability to perform block-diagonalization of 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, including the interpretation of numerical results.