micro1 is seeking highly skilled Physics Experts specializing in statistical physics, quantum information, or condensed matter to contribute to a research-driven project. You will apply your deep domain knowledge to help train next-generation AI systems, ensuring they learn and reason through high-quality, expert-level input.
Key responsibilities
- Analyze and provide expert insights into complex statistical physics phenomena, focusing on replicated random-bond Ising/Ashkin-Teller models and the Nishimori line.
- Deliver clear, well-documented solutions and critiques regarding Kramers-Wannier duality, quenched disorder averaging, and domain-wall free energy.
- Conduct advanced numerical work, specifically involving 4-state Potts model simulations and their interpretation.
- Identify and resolve technical challenges related to noncontractible loop defects and topological features.
- Participate in project assignments as a Solver, Auditor, or Adjudicator based on your specific subfield strengths.
Requirements
- Advanced academic background, typically a PhD, in physics with a specialization in statistical physics, quantum information, or condensed matter theory.
- Proven hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research environments.
- Demonstrated proficiency in numerical simulations involving the 4-state Potts model and the analysis of domain-wall free energy.
- Strong familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.
What we offer
- The opportunity to apply your theoretical expertise to cutting-edge AI development.
- A fully remote working environment that values your specialized academic and research background.
- Engagement in high-level intellectual challenges at the intersection of physics and numerical benchmarking.