{"id":3611836,"url":"https://alion.io/job/alice-bob-efficient-cat-qubit-simulation-intern-mf","title":"Efficient Cat Qubit Simulation Intern M/F","company":{"id":1906,"name":"Alice & Bob","domain":"alice-bob.com","url":"https://alion.io/company/alice-bob","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":87,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Julia","optional":false}],"status":"live","first_seen_at":"2026-11-02T13:51:10Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T00:02:15Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"PURPOSE OF THE ROLE\nIn a context where bit flips in cat qubits are exponentially rare, and where the Hilbert space grows quickly as soon as several modes are involved, estimating bit-flip probabilities in multi-mode operations lies beyond the reach of both brute-force simulation and exact master-equation methods.\nThe Research Intern - Efficient Cat Qubit Simulation addresses this gap by making such estimates computationally tractable, so that error rates of multi-qubit operations can be quantified and better understood.\nReporting to the Device Theorist, you will work closely with the Simulation Model team to explore how tensor-network representations, quantum trajectories and efficient simulation techniques can be combined to estimate bit-flip probabilities in many-mode settings, building on efficient simulation methods already developed for a single cat qubit.\nResponsibilities:\n1. Develop simulation methods for many-mode cat-qubit systems\nCombine tensor-network representations with quantum trajectory unravelings of the Lindblad master equation to simulate multi-mode operations \nVerify the numerical robustness of the simulations (Hilbert-space and bond-dimension truncation, solver stability and precision)\n2. Develop efficient simulation strategies for many-mode bit flips\nExtend efficient simulation methods developed for a single cat qubit to multi-mode systems\nExtract statistically reliable estimates of bit-flip probabilities and rates from the simulated trajectories\n3. Validate and benchmark the approach\nCompare estimates against exact references where they exist (master-equation results, single-qubit simulation results) and against theoretical predictions \nQuantify the computational cost and scaling of the method relative to standard Monte Carlo sampling\n4. Interpret the physics of bit flips in multi-mode operations\nAnalyse simulated bit-flip trajectories to characterise the underlying error mechanisms \nIdentify and explain discrepancies between simulated behaviour and theoretical expectations\n5. Document and communicate results\nDocument methods, code and results for reuse by the Simulation Model team\nPresent progress in regular team meetings and formulate recommendations for extending these simulation methods to further multi-qubit operations\nRequirements:\nYou are a Master's or final-year engineering student with a strong background in quantum physics and numerical methods. You are motivated by research at the interface of theory and computation, and are able to drive a technical project with a high degree of independence while seeking feedback from more experienced colleagues.\nLANGUAGES: Proficient in English\nGood understanding of quantum mechanics and open quantum systems (density matrices, Lindblad master equations)\nProgramming experience in Python or Julia for scientific computing\nAutonomy and comfort with open-ended research questions that have no guaranteed answer\nClear technical communication and a collaborative attitude within a multidisciplinary team\nEXPERIENCE: No prior professional experience required\nNice to have:\nFamiliarity with quantum trajectories and stochastic unraveling\nExposure to tensor-network methods (e.g. matrix product states)\nKnowledge of Monte Carlo methods and statistical estimation\nExperience with Julia, numerical ODE/SDE solvers, or GPU-accelerated and high-performance computing\nHabit of rigorous numerical practice (convergence checks, truncation control, precision and solver choice)\nExperience reading and applying current research literature\nA previous research, project or internship in quantum physics or scientific computing is an asset","description_format":"text","description_chars":3637,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Science & Computing","Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-11-02T14:38:47Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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