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Quandela

Quantum Information Scientist – Architecture & Performance

Quandela

. Evaluate and compare the capabilities and limitations of near- and mid-term quantum architectures .

Posted 10/6/2026full-timeMassy • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in Quantum Information and Quantum Computing, with a focus on scientific modeling, numerical simulation, and performance analysis. Capable of leading research projects that connect theoretical concepts with practical implementations in quantum architectures.

Highest-signal resume keywords
PhD In Quantum InformationQuantum Complexity TheoryScientific ModelingPython-Based Scientific ComputingQuantum Error Correction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Quantum AlgorithmsPerformance AnalysisNoise ModelingResource AnalysisQuantum BenchmarkingQuantum CompilationHardware-Aware Algorithm DesignPhotonic Quantum ComputingNumerical SimulationQuantum-System Characterization
Soft Skills
CollaborativePersonableClear CommunicationScientific Autonomy
Industry Keywords
Quantum ComputingQuantum ArchitecturesComputational CapabilityExperimental ConstraintsResource EstimationFault-Tolerant ArchitecturesArchitecture DesignPerformance MetricsCollaborative ResearchClassical Baselines

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Evaluate and compare the capabilities and limitations of near- and mid-term quantum architectures
  • Draw on methods from complexity theory, benchmarking, characterisation and related fields to assess architecture designs
  • Incorporate realistic noise, native operations and physical constraints into analyses
  • Investigate when and how architectures could provide meaningful computational capabilities or advantages
  • Develop scientific models and numerical tools to explore architecture-performance trade-offs
  • Study interactions between architecture choices, algorithms, resource requirements and QEC strategies
  • Progressively propose and lead research projects around architecture design and performance
  • Work across the Architecture team and Algorithms and Applications team, connecting physical-layer questions to computational capability and potential applications
  • Contribute to existing evaluation and performance studies
  • Compare different concepts and contribute to Quandela’s architecture roadmap
  • Lead exploratory research projects and propose new architecture directions

Requirements

What you’ll need
  • PhD in Quantum Information, Quantum Computing, Physics, Mathematics, Computer Science or a closely related field
  • Strong expertise in one or more relevant areas, such as quantum complexity theory, quantum learning theory, quantum-system characterisation, performance analysis or quantum algorithms
  • Experience connecting theoretical or computational questions with realistic implementation, hardware or experimental constraints
  • Ability to assess the capabilities and limitations of quantum systems or architectures
  • Experience with scientific modelling, numerical simulation and Python-based scientific computing
  • Scientific autonomy and ability to structure open-ended research problems
  • Collaborative and personable, with the ability to communicate ideas clearly to people from other fields of expertise
  • Professional English
  • Quantum Error Correction and early fault-tolerant architectures
  • Hardware-aware algorithm or architecture design
  • Quantum benchmarking and performance metrics
  • Noise modelling
  • Resource and computational-cost analysis
  • Collaboration with experimental or hardware-oriented quantum-computing teams
  • Quantum compilation or native-gate-aware circuit design
  • Photonic quantum computing
  • Resource estimation
  • Experience comparing quantum approaches against strong classical baselines
  • Previous ownership of collaborative research projects
  • Candidates with postdoctoral or equivalent industrial R&D experience and strong recent PhDs demonstrating scientific autonomy are welcomed

Benefits

Comp & perks
  • Explore open scientific questions grounded in real hardware constraints
  • Work across Quantum Information, Device Physics, FTQC and Algorithms
  • Take ownership of broad and exploratory research projects
  • Contribute to the scientific directions of a growing team
  • Competitive compensation aligned with your experience and level of responsibility
  • Company savings plan
  • 100% health coverage through Alan
  • Transport reimbursement or sustainable mobility bonus
  • Swile meal vouchers
  • Access to Gymlib