51 – 200 Xodimlar
Sun’iy intellektQuandela amaliy kvant ilovalarini o‘rganayotgan tashkilotlar uchun fotonlarga asoslangan kvant hisoblash tizimlari va bulutli yechimlarni ishlab chiqadi. Kompaniya faoliyati kvant transformatsiyasi tashabbuslarini qo‘llab-quvvatlash hamda sun’iy intellekt va boshqa rivojlanayotgan texnologiyalar bo‘yicha tadqiqotlarni ilgari surish uchun fotonika, nanotexnologiya va kvant hisoblashni birlashtiradi.
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.
Tavsif
- 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
Talablar
- 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
Imtiyozlar
- 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