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Alice & Bob

Develops fault-tolerant quantum computer hardware

Research Intern - Efficient Cat Qubit Simulation

Data ScienceConfirmed live in the last 24 hours
Internship · Winter 2027Paris, FranceNo salary listed

About the Job

Requirements

  • Be a Master's or final-year engineering student with a strong background in quantum physics and numerical methods.
  • Have an in-progress Master's degree (M2 or equivalent final year) in physics, quantum engineering, applied mathematics, or a related field.
  • Be proficient in English.
  • Have a good understanding of quantum mechanics and open quantum systems, including density matrices and Lindblad master equations.
  • Have programming experience in Python or Julia for scientific computing.
  • Be able to work autonomously on open-ended research questions without guaranteed answers.
  • Have no prior professional experience requirement.

Responsibilities

  • Combine tensor-network representations with quantum trajectory unravelings of the Lindblad master equation to simulate multi-mode operations.
  • Verify numerical robustness of simulations, including Hilbert-space and bond-dimension truncation, solver stability, and precision.
  • Extract quantitative estimates of error probabilities and rates from simulated trajectories.
  • Assess the statistical reliability of estimates and their dependence on simulation parameters.
  • Compare estimates against exact master-equation results where available and against theoretical predictions.
  • Quantify the computational cost and scaling of the method relative to standard density-matrix simulation.
  • Analyse simulated trajectories to characterise underlying error mechanisms.
  • Identify and explain discrepancies between simulated behaviour and theoretical expectations.
  • Document methods, code, and results for reuse by the team.
  • Present progress in regular team meetings and formulate recommendations for extending simulation methods to further multi-qubit operations.

Desired Qualifications

  • Have familiarity with quantum trajectories and stochastic unraveling.
  • Have exposure to tensor-network methods, such as matrix product states.
  • Have knowledge of Monte Carlo methods.
  • Have experience with Julia, numerical ordinary or stochastic differential equation solvers, or GPU-accelerated and high-performance computing.
  • Follow rigorous numerical practices, including convergence checks, truncation control, and careful choices of precision and solver.
  • Have experience reading and applying current research literature.
  • Previous research, project, or internship experience in quantum physics or scientific computing is an asset.

About the Company

Alice & Bob

Develops fault-tolerant quantum computer hardware

Alice & Bob builds quantum computers that use self-correcting superconducting qubits to achieve fault-tolerant quantum computing. Their machines are designed to run any quantum algorithm, helping researchers tackle hard, complex problems with fewer errors. The product combines a quantum computer chip and related hardware to support quantum computation, backed by simulations to aid design and testing. Unlike others that rely on less error-tolerant qubits, this company focuses on error-free operation through self-correcting qubits, aiming to provide researchers and organizations a reliable platform for advancing quantum algorithms and solving challenging problems. The overall goal is to expand practical quantum computing by delivering a dependable, scalable hardware system that researchers can use to explore and implement advanced quantum techniques.

Company size
201-500
Company stage
Early VC
Total funding
$162.1M
Headquarters
Paris, France
Founded
2020

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