Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 200+ brilliant minds from over 30 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
Alice & Bob’s application team is pursuing the development of a quantum computer utilising cat qubits, with the goal of achieving a 100-logical-qubit system by the end of the decade.
We are looking for a Master student to join us for 6 months to develop quantum algorithms for our first generation of fault-tolerant hardware.
Joining Alice & Bob will allow you to develop practical skills in quantum applications and contribute to the deployment quantum hardware.
Research topic: applications for first generation fault-tolerant hardware
As an intern, you will design a quantum algorithm for the simulation of quantum many-body systems with minimal hardware requirements, using techniques from dissipative state preparation.
This internship will start in July 2026.\n
Responsibilities:
At Alice & Bob you will:
- Apply fault-tolerant techniques to improve state preparation of quantum systems on a quantum computer.
- Implement corresponding code in Qualtran.
- Determine and optimise the required resources needed to run it.
Requirements:
- Enrolled in a Master’s program in quantum physics, quantum information, computational physics, or a related field.
- Strong understanding of open quantum systems: density matrices, quantum channels, Lindblad dynamics, and dissipative processes.
- Experience with computational methods for simulating quantum systems.
- Proficiency in Python scientific computing (NumPy, SciPy, QuTiP, Qiskit, PennyLane, or similar tools).
- Professional-level English proficiency, both written and spoken.
Nice to have:
- Familiarity with cat qubits, or fault-tolerant quantum computing is a plus.
- Experience with Monte Carlo sampling, finite-shot statistics, or stochastic optimisation methods is a plus.
- Expertise in condensed matter physics / fault-tolerant algorithms/ open quantum systems / quantum information is a plus.
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Benefits:
- 1 day off per month
- Half of transportation cost coverage (as per French law)
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The evolution of fault-tolerant quantum computing necessitates specialized research into advanced material systems that can enhance qubit coherence and gate fidelity. The role of a Graphene Quantum Advantage intern represents a critical intersection between condensed matter physics and scalable hardware engineering, addressing the structural need for high-performance materials in superconducting circuits. By exploring the integration of two-dimensional materials like graphene, this function contributes to the mitigation of microwave losses and decoherence, which are primary bottlenecks in the transition from NISQ-era devices to universal quantum processors. Market signals from major research hubs indicate that the ability to synthesize and characterize these materials within quantum architectures is a key determinant for achieving sustained quantum advantage. This role type serves as a vital bridge in the talent pipeline, ensuring that theoretical material breakthroughs are systematically translated into hardware-ready protocols for the next generation of error-corrected systems.
The quantum hardware ecosystem is currently undergoing a strategic shift toward architectures capable of autonomous error correction, a move necessitated by the overhead constraints of traditional fault-tolerant schemes. Within this value chain, superconducting circuits remain a dominant modality, yet they face persistent scaling challenges related to material-induced noise and the complexity of multi-qubit fabrication. The introduction of graphene and other van der Waals heterostructures into this domain offers a potential pathway to bypass traditional lithographic limitations and improve the tunability of superconducting components. This research-heavy tier of the industry is essential for de-risking the long-term hardware roadmaps of organizations like Alice & Bob as they move toward high-fidelity cat qubit implementations.
Macro-level analysis reveals that while the global quantum workforce is expanding, there remains a significant talent gap for individuals capable of navigating the interface between nanotechnology and quantum information science. National quantum strategies in Europe and North America have prioritized the development of sovereign hardware stacks, placing increased emphasis on localized research into novel material platforms. This ecosystem-level dependency on material innovation is driven by the need to reduce physical qubit requirements for logical qubit encoding. Consequently, the role of material-centric researchers is becoming a primary driver for the structural throughput of the hardware development lifecycle.
Furthermore, the integration of 2D materials into superconducting quantum processors aligns with broader industry efforts to establish more resilient supply chains and standardized fabrication processes. As the industry matures, the focus is pivoting from basic qubit demonstration to the establishment of reproducible engineering frameworks. This transition requires a workforce that can harmonize academic-level material characterization with the practical constraints of industrial-scale cleanroom environments. By addressing these foundational material science questions, the industry moves closer to realizing practical quantum advantage for complex computational tasks in chemistry and cryptography.
The capability architecture for this role type centers on the sophisticated characterization of low-dimensional material systems within the context of cryogenic microwave environments. Foundational to this is the mastery of electronic transport measurements and the ability to interface van der Waals heterostructures with superconducting resonators. These technical proficiencies are critical for identifying the origin of dielectric loss and developing strategies for noise mitigation in high-coherence circuits. Such capabilities directly influence the stability of quantum gates and the overall reliability of the hardware stack.
Beyond material synthesis, the role facilitates a high-level coupling between materials engineering and quantum circuit design. This interface ensures that the unique properties of graphene—such as high carrier mobility and gate-tunable superconductivity—are leveraged to optimize the performance of quantum processing units. By establishing rigorous benchmarking for material-enhanced qubits, these roles enable a deterministic progression of technology readiness levels. This strategic alignment is vital for maintaining the integrity of the technology stack as hardware scales toward thousands of physical qubits.
Accelerates the deterministic progression of material science breakthroughs into functional quantum hardware components
Mitigates systemic risks associated with qubit decoherence by establishing rigorous material characterization protocols
Facilitates the transition from traditional superconducting materials to high-performance 2D heterostructures
Reduces iteration friction in the fabrication of high-fidelity superconducting circuits through advanced material integration
Strengthens the long-term competitive positioning of hardware providers by securing early-mover expertise in graphene applications
Harmonizes abstract condensed matter research with the practical requirements of scalable fault-tolerant architectures
Optimizes the coherence times of superconducting qubits through the targeted reduction of surface and interface noise
Supports the scaling of quantum adoption by identifying material-based solutions to hardware bottlenecks
Shortens the time-to-market for error-corrected processors by ensuring material alignment with hardware roadmaps
Improves the reliability of multi-stage fabrication processes through the application of standardized characterization techniques
Protects capital-intensive investments in cleanroom infrastructure by providing expert validation of novel material platforms
Enables the strategic orchestration of research efforts between academic laboratories and industrial quantum centers
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