Remote AMO/Quantum Optics Expert – Contractor

RemoteJobsOne; Greater London; Remote; GBP 83,000 - 166,000; Part time

Job summary

RemoteJobsOne seeks a Physics Expert (AMO / Quantum Information) for a fully remote contractor role based in the United Kingdom. You will contribute to a cutting-edge research-focused project, applying your domain knowledge to benchmark and train AI systems with real-world quantum inputs.

The work covers cascaded optical parametric amplifiers, SU(1,1) interferometry, and loss modeling using Bogoliubov transformations and covariance-matrix methods.

Qualifications

• PhD or equivalent in AMO Physics, Quantum Optics, or Quantum Information Science.
• Expertise with Bogoliubov transformations, covariance-matrix formalism, and quantum noise analysis.
• Hands-on familiarity with sideband spectra, homodyne detection, and loss modeling.
• Experience applying squeeze-parameter hyperbolic identities in research.
• Familiarity with cascaded parametric amplifiers, SU(1,1) interferometry, or two-mode squeezing.

Responsibilities

• Analyze and model cascaded optical parametric amplifiers and SU(1,1) interferometric systems under realistic loss mechanisms.
• Apply Bogoliubov transformations and covariance-matrix techniques to quantify quantum correlations and noise properties.
• Derive and interpret sideband photocurrent spectra utilizing homodyne detection methodologies.
• Implement and critique loss modeling via fictitious beamsplitters, ensuring robust benchmarking against theoretical and experimental scenarios.
• Utilize squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.

Skills

Bogoliubov transformations

Covariance-matrix formalism

Quantum noise analysis

Homodyne detection

Sideband spectra

Two-mode squeezing

Education

PhD or equivalent in AMO Physics / Quantum Optics / Quantum Information Science

Job description

RemoteJobsOne seeks a Physics Expert (AMO / Quantum Information) for a fully remote contractor role based in the United Kingdom. You will contribute to a cutting-edge research-focused project, applying your domain knowledge to benchmark and train AI systems with real-world quantum inputs.

The work covers cascaded optical parametric amplifiers, SU(1,1) interferometry, and loss modeling using Bogoliubov transformations and covariance-matrix methods.