About Quandela
Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.
Join Us at the Forefront of Quantum Computing Innovation 🚀
Description of the Team/Project
You will join the Fault-Tolerant Quantum Computing team within Quandela’s Architecture division. The team brings together researchers, engineers, and students working on Quantum Error Correction and fault-tolerant protocols. The team works closely with the quantum information, quantum device physics, software and experimental teams across the company.
Within this framework, you will contribute to the development of quantum error correction and fault-tolerant computing strategies that enable the scaling of Quandela’s Spin-Optical Quantum Computing architecture specifically working on exploring hyperbolic and semi-hyperbolic floquet codes in the SPOQC architecture.
(Semi)-Hyperbolic Floquet codes are a class of dynamical quantum error-correcting codes whose implementation relies solely on pair measurements, and that offer good asymptotic scaling for both their physical- to logical-qubit encoding rate and distance. However, due to the underlying hyperbolic geometry, their realization requires long-range connexion. Furthermore, it is yet unclear how to perform logical operations on these codes beyond simple information protection. The internship offers two axes that can be explored in parallel: (a) the implementation of these codes on Quandela's SPOQC architecture, and especially the impact of long range connexions on the fault-tolerance offered by these codes, (b) transferring to these codes, if possible, known methods to perform logical operations based on lattice deformations (eg Dehn twists).
The intern is expected to conduct a thourough litterature review, explore the topics of the internship and produce a detailed report as well as some well-documented code.
- You are currently enrolled in a university or in a higher education program in Physics, Mathematics, or Computer Science. The position is only valid with an internship agreement.
- You have experience with, or strong interest in quantum computing, quantum information theory or quantum error correction.
- You are curious and love solving problems.
- Coding skills are appreciated (esp. Python).
- Strong communication in English, French is a plus.
- Swile Card (meal vouchers) 🍴🛒
- 50% participation in transportation costs 🚆
- Possibility of remote work 💻
- Internship Allowance between €1,200 and €1,400 per month 💰
- 1,5 days off per month, cumulative 🧳
What we also offer
A challenging and innovative work environment at the heart of quantum computing.
A diverse and collaborative company culture.
Opportunities for professional growth and skill development.
At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The evolution of scalable fault-tolerant quantum computing relies fundamentally on bridging the gap between theoretical error-correcting codes and physical hardware constraints. Specialized research functions focused on quantum error correction (QEC) serve as critical infrastructure within the deep-tech value chain, establishing the algorithmic foundations required to achieve practical quantum advantage. By assessing advanced topological and dynamical coding structures against the real-world operational profiles of specific processing modalities, these roles de-risk high-capital hardware investments. Furthermore, the systematic integration of specialized academic pipelines into industrial architecture teams mitigates systemic workforce bottlenecks and accelerates the development of production-ready systems. Ultimately, this foundational translation layer transforms abstract mathematical proofs into reliable, fault-tolerant execution frameworks that secure long-term sector viability.
The global quantum software and architecture landscape is experiencing a definitive shift from generalized stabilizer codes toward hardware-optimized error-mitigation protocols. While early industry benchmarks focused heavily on surface codes, the practical limitations of physical qubit overhead have forced the ecosystem to investigate highly efficient alternatives, such as low-density parity-check (LDPC) and dynamical Floquet codes. This transition introduces complex spatial and routing constraints, particularly when applying abstract hyperbolic geometries to physical processing planes that require long-range connectivity. Consequently, structural analysis at this level is a primary determinant of whether a commercial architecture can scale its logical-to-physical qubit ratios efficiently.
Ecosystem-level analyses from bodies like the Quantum Economic Development Consortium (QED-C) emphasize that specialized talent integration at the pre-doctoral and early-career stage is crucial for long-term capability retention. The current market faces a distinct challenge where abstract algorithmic breakthroughs occur independently of platform-specific physical layer developments. To address this mismatch, leading organizations are leveraging structured research programs to establish tight cross-functional feedback loops between hardware engineering and fault-tolerant software development. This dual-focus architecture allows organizations to benchmark code performance against specific hardware constraints, such as physical coherence boundaries and gate-fidelity parameters.
Furthermore, national quantum strategies increasingly prioritize the standardization of verification and validation protocols to track Technology Readiness Level (TRL) progression accurately. The development of robust simulation tools capable of modeling error propagation across unique topological structures represents a vital commercial asset. As the industry moves closer to utility-scale deployments, the ability to execute reliable logical operations via advanced techniques like lattice deformation will separate speculative research from scalable, market-ready computational platforms.
The capability architecture for this specialized domain centers on the intersection of advanced quantum information theory and scalable software engineering. Proficiency in topological code design and dynamical measurement protocols is required to optimize logical qubit encoding rates and distance metrics within non-Euclidean geometric frameworks. This requires a deep structural understanding of how specific hardware modalities, particularly spin-optical and photonic platforms, execute physical pair measurements under real-world noise distributions.
These mathematical capabilities must be paired with advanced computational modeling and compiler design protocols. Specialized developers leverage high-performance software environments to simulate noise thresholds, analyze error propagation pathways, and evaluate the practical viability of long-range connections within constrained physical layouts. This analytical throughput is critical for validating the theoretical threshold theorems of emerging codes before they are hardcoded into control stacks. By establishing rigorous benchmarking frameworks, this functional layer ensures tight interoperability between abstract algorithmic research and the concrete systems engineering teams managing physical deployment. - Accelerates the transition from abstract quantum error correction theory to scalable hardware architectures
- Mitigates architectural execution risks by evaluating the physical overhead requirements of non-Euclidean codes
- Facilitates the standardization of threshold verification protocols across specialized hardware platforms
- Optimizes the logical-to-physical qubit encoding ratios required for practical quantum advantage
- Reduces systemic iteration friction between deep-tech research divisions and core software engineering teams
- Strengthens organizational capability pipelines by integrating specialized academic talent into industrial projects
- Validates the scalability of spin-optical quantum computing modalities through rigorous error modeling
- Supports the development of platform-agnostic compilers optimized for dynamical measurement protocols
- Enhances the reproducibility of fault-tolerant simulations through structured code documentation
- Lowers the long-term capital risks associated with hardware routing and physical connectivity constraints
- Improves the precision of technology roadmap projections for institutional and policy stakeholders
- Secures foundational intellectual property in high-leverage topological and dynamical coding domainsIndustry Tags: Quantum Error Correction, Fault Tolerant Computing, Floquet Codes, Spin-Optical Quantum Computing, Quantum Information Theory, Topological Quantum Codes, Quantum Architecture, Deep Tech Research
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