Quantum Many-Body Dynamics Benchmark Specialist
Job Description
This IXO track tests research reasoning at the interface of numerical methods and quantum dynamics. The work centers on the PXP model, Rydberg blockade and many-body scars, where a convincing calculation must use symmetry correctly and support a meaningful interpretation.
Work you will do
• Build or inspect exact-diagonalization implementations that exploit translation and reflection symmetry.
• Construct and verify block-diagonal subspaces, checking both computational efficiency and faithful representation of the intended Hamiltonian.
• Analyze overlaps with Z2 states and explain what the results imply about constrained quantum dynamics.
• Prepare solutions, audits or adjudications with sufficient methodological detail for another specialist to assess the result.
Preferred background
• PhD or equivalent practical background in condensed matter, quantum information or a closely related field.
• Demonstrated exact-diagonalization expertise, including QuSpin and symmetry methods for large systems.
• Ability to block-diagonalize Hamiltonians and work with large Hilbert-space sectors.
• Research-level understanding of quantum many-body scars, Rydberg blockade and Z2-state overlap analysis.
• Experience executing QuSpin calculations at system sizes L ≥ 26.
Deliverables
A reproducible numerical analysis or rigorous review that documents sector choices, computational checks and the physical interpretation.
Location and schedule
Remote; solver, auditor or adjudicator duties depend on demonstrated methods expertise and seniority. Scope, hours and timing are agreed before work; there is no specified a fixed weekly commitment or duration.
Pay and working terms
$105 • $180/hr USD. IXO will agree the assignment scope, hourly rate, schedule and acceptance criteria before work begins. Work is a paid remote expert engagement; applying does not guarantee an assignment. Use only public, licensed or otherwise authorized material. Do not provide confidential employer information, personal data or restricted research.