About this role
Role Overview
Apply advanced condensed matter and quantum information expertise to implement and analyze large-scale exact diagonalization studies and interpret results for research-level benchmarks on constrained quantum dynamics. This contractor role focuses on models such as the PXP model, Rydberg blockade, and quantum many-body scars, and contributes domain knowledge that trains and evaluates next-generation AI systems. No prior AI experience is required.
Key Responsibilities- Develop and analyze exact diagonalization implementations that exploit translation and reflection symmetries, with a preference for QuSpin-based workflows.
- Work with system sizes L greater than or equal to 26, constructing and manipulating block-diagonalized subspaces to improve computational efficiency and maintain numerical fidelity.
- Compute and evaluate overlaps with Z2 states and translate numerical results into physical interpretation in the context of constrained dynamics.
- Produce detailed written feedback, analytic reports, and technical assessments for research benchmarks related to quantum many-body scars and Rydberg blockade phenomena.
- Participate in the project in one of several roles depending on expertise and seniority: Solver, Auditor, or Adjudicator.
- Advanced academic training such as a PhD, or equivalent practical experience, in condensed matter physics, quantum information, or a closely related field.
- Demonstrated expertise in exact diagonalization methods, including use of translation and reflection symmetries for large Hilbert spaces.
- Experience with block-diagonalization of Hamiltonians and handling subspaces for system sizes L >= 26. QuSpin experience is preferred.
- Substantial familiarity with quantum many-body scars, the Rydberg blockade, and constrained quantum dynamics.
- Experience analyzing and interpreting overlaps with Z2 or related quantum states from numerical data.
- Engagement type: Independent contractor.
- Location: Remote.
- Role may be assigned as Solver, Auditor, or Adjudicator depending on subfield alignment, hands-on methods expertise, and seniority.
- No prior experience in AI is required; primary qualification is domain expertise in the physics topics outlined above.
Pay range: $80 to $160 per hour.
EligibilityRemote candidates located in the following countries are eligible to apply:
- Afghanistan
- Åland Islands
- Albania
- Algeria
- American Samoa
- Andorra
- Angola
- Anguilla
- Antigua and Barbuda
- Argentina
- Armenia
- Aruba
- Ascension Island
- Australia
- Austria
- Azerbaijan
- Bahamas
- Bahrain
- Bangladesh
- Barbados
- Belarus
- Belgium
- Belize
- Benin
- Bermuda
- Bhutan
- Bolivia
- Bonaire, Sint Eustatius and Saba
- Bosnia and Herzegovina
- Botswana
- Brazil
- British Indian Ocean Territory
- Brunei Darussalam
- Bulgaria
- Burkina Faso
- Burundi
- Cambodia
- Cameroon
- Canada
- Cape Verde
- Cayman Islands
- Central African Republic
- Chad
- Chile
- China
- Christmas Island
- Cocos (Keeling) Islands
- Colombia
- Comoros
- Congo
- Congo, Democratic Republic of the
- Cook Islands
- Costa Rica
- Cote d''Ivoire
- Croatia
- Cuba
- Curaçao
- Cyprus
- Czech Republic
- Denmark
- Djibouti
- Dominica
- Dominican Republic
- Ecuador
- Egypt
- El Salvador
- Equatorial Guinea
- Eritrea
- Estonia
- Ethiopia
- Falkland Islands
- Faroe Islands
- Federated States of Micronesia
- Fiji
- Finland
- France
- French Guiana
- French Polynesia
- Gabon
- Gambia
- Georgia
- Germany
- Ghana
- Gibraltar
- Greece
- Greenland
- Grenada
- Guadeloupe
- Guam
- To apply, provide your first and last name, email address, phone number, and country of residence.
- Applicants will be reviewed and vetted by the project team''s recruiter; placement into a Solver, Auditor, or Adjudicator role will depend on domain fit and demonstrated methods expertise.
- Selected candidates will be asked to produce technical examples or assessments relevant to exact diagonalization and the specified physics topics as part of the evaluation.