What the work involves
You are producing and reviewing frontier physics problems that current models mostly fail. In practice that means writing exact diagonalization code for constrained spin systems, exploiting translation and reflection symmetry to reach system sizes of L ≥ 26, and constructing block-diagonalized subspaces you can actually work in. A typical task chain: define a PXP or Rydberg-blockade Hamiltonian, resolve it into momentum and parity sectors, diagonalize, compute overlaps of eigenstates with the Z2 Néel state, and then explain what the overlap structure says about scarred dynamics and ergodicity breaking. The written interpretation matters as much as the numerics — reports need to be tight enough that another physicist can reproduce and disagree with them.
Contributors are slotted as Solver, Auditor, or Adjudicator depending on subfield fit, hands-on methods depth, and seniority. Solvers generate the reference solutions; Auditors check numerics, symmetry-sector bookkeeping, and physical reasoning; Adjudicators resolve disputes between the two. No AI or ML background is required, and micro1 states this explicitly — the screen is about physics.
What the platform screens for
- Whether you have personally run symmetry-resolved ED at scale, not just read about it. Expect follow-ups on basis construction, sector dimensions, and where memory actually breaks.
- QuSpin fluency specifically, or a defensible account of your own ED stack and why it is equivalent.
- Conceptual command of quantum many-body scars, the Rydberg blockade constraint, and what distinguishes weak ergodicity breaking from integrability or MBL.
- Ability to say when a numerical result is an artifact — finite-size effects, wrong sector, unconverged Lanczos — rather than a physical claim.
- Clear technical writing under a rubric, since deliverables are reports and assessments as much as code.
Logistics
Remote, contractor, and largely asynchronous — tasks are picked up from a queue rather than scheduled in meetings. Observed pay for this listing is $80–160/hr, banded by role tier and depth of methods expertise; the rate is what has been posted, not a guarantee for any individual offer. Most contributors treat this as part-time alongside a research position, with weekly commitments in the 10–20 hour range, though throughput expectations tighten if you take an Auditor or Adjudicator seat. Expect an AI-led screening interview before any project access.