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कृत्रिम बुद्धिमत्ताQuandela उन संगठनों के लिए फोटॉन-आधारित क्वांटम कंप्यूटिंग प्रणालियाँ और क्लाउड समाधान विकसित करती है जो व्यावहारिक क्वांटम अनुप्रयोगों की खोज कर रहे हैं। इसका कार्य फोटोनिक्स, नैनोप्रौद्योगिकी और क्वांटम कंप्यूटिंग को एक साथ लाकर क्वांटम रूपांतरण पहलों को सहयोग देता है तथा कृत्रिम बुद्धिमत्ता और अन्य उभरती प्रौद्योगिकियों में अनुसंधान को आगे बढ़ाता है।
Quantum Information Scientist, Quantum Architecture and Performance – Quandela (Hybrid, France)
Assess and shape Quandela’s near- and mid-term photonic quantum-computing architectures. Build models, simulations, and performance analyses for scalable fault-tolerant systems.
विवरण
- Assess the capabilities and constraints of near- and mid-term quantum architectures
- Apply complexity theory, benchmarking, characterisation, and related methods to evaluate architecture designs
- Account for realistic noise, native operations, and physical limitations in architectural analyses
- Determine when architectures may deliver useful computational capabilities or quantum advantage
- Create scientific models and numerical tools to examine architecture and performance trade-offs
- Analyse how architecture decisions interact with algorithms, resource needs, and quantum error-correction strategies
- Develop and lead research projects focused on architecture design and performance
- Collaborate across the Architecture and Algorithms and Applications teams to link physical-layer questions with computational capabilities and applications
- Support ongoing architecture evaluation and performance studies
- Compare architectural concepts and help shape Quandela’s architecture roadmap
- Lead exploratory research and recommend new directions for architecture development
आवश्यकताएँ
- PhD in quantum information, quantum computing, physics, mathematics, computer science, or a closely related discipline
- Deep expertise in at least one relevant area, including quantum complexity theory, quantum learning theory, quantum-system characterisation, performance analysis, or quantum algorithms
- Experience relating theoretical or computational work to practical implementation, hardware, or experimental constraints
- Ability to evaluate the capabilities and limitations of quantum systems or architectures
- Background in scientific modelling, numerical simulation, and Python-based scientific computing
- Independence in research and the ability to frame and organise open-ended problems
- Collaborative communication style with the ability to explain ideas clearly across disciplines
- Professional proficiency in English
- Knowledge of quantum error correction and early fault-tolerant architectures
- Experience designing hardware-aware algorithms or architectures
- Familiarity with quantum benchmarking and performance metrics
- Experience with noise modelling
- Experience analysing resource requirements and computational cost
- Experience working with experimental or hardware-focused quantum-computing teams
- Familiarity with quantum compilation or native-gate-aware circuit design
- Knowledge of photonic quantum computing
- Experience with resource estimation
- Experience comparing quantum methods with strong classical baselines
- Previous ownership of collaborative research projects
- Postdoctoral or equivalent industrial R&D experience is welcome, as are recent PhD graduates with a strong record of scientific independence
लाभ
- Investigate open scientific questions informed by real hardware constraints
- Collaborate across Quantum Information, Device Physics, FTQC, and Algorithms
- Own broad, exploratory research initiatives
- Help shape the scientific direction of a growing team
- Competitive compensation based on experience and level of responsibility
- Company savings plan
- Full health coverage through Alan
- Transport reimbursement or sustainable mobility bonus
- Swile meal vouchers
- Gymlib access
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