VTT is now looking for a Research Scientist to join its Quantum Algorithms and Software team
As a scientist at VTT, you can make an impact on our customers and society. VTT researchers work closely together with industry, often in interdisciplinary research groups. VTT has excellent research infrastructure and internal services to support your research work.
With a strong background in quantum computing, you will have an essential role in developing and carrying out research on quantum error correction. You are expected to identify and solve problems independently and creatively, while working closely and flexibly with a team of experts.
Your focus will be on the development of error correction codes, on designing and integrating quantum error correction experiments to be executed on VTT quantum computers.
The team develops quantum algorithms and operates VTT superconducting qubit quantum computers. Currently, VTT hosts two devices with 5 and 53 qubits, and has signed a joint development project with IQM which will deliver a 150-qubit superconducting quantum computer in mid-2026 and a 300-qubit one in late 2027. We are active in the development of quantum algorithms for real-world problems, quantum error mitigation techniques, benchmark protocols for current quantum computers, and quantum software infrastructure.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The structural challenge of quantum computing lies in achieving fault-tolerant computation, making the algorithms and software that manage quantum noise an essential component of the emerging value chain. This research-centric role is structurally necessary to translate theoretical quantum error correction (QEC) codes into empirical, demonstrable performance gains on noisy intermediate-scale quantum (NISQ) devices and their immediate successors. The impact of this position is measured by the acceleration of hardware reliability and the expansion of practical use cases that require error-mitigated execution, directly addressing the Technology Readiness Level (TRL) gap between laboratory success and industrial deployment. The synthesis of robust software control and complex error correction theory is a critical constraint on scaling quantum computing capabilities.
The domain of quantum algorithms and software is positioned at the intersection of fundamental physics research and computer science engineering, acting as the primary interface between physical quantum processing units (QPUs) and end-user applications. Macro constraints within the sector include the current lack of hardware fault tolerance, which necessitates intensive research into QEC and error mitigation techniques to extract meaningful computation from existing hardware. Furthermore, scaling superconducting QPU architectures—such as those operated by VTT—requires concurrent maturation of high-fidelity control software and benchmarking protocols. Vendor fragmentation across the hardware and software stack presents integration friction, increasing the systemic demand for specialized research scientists capable of working across layers, from pulse-level control up to high-level programming models.
National quantum strategies frequently prioritize the development of sovereign computational infrastructure, placing increased emphasis on localized expertise in fault tolerance to maximize public and private investment. The transition from NISQ-era optimization towards genuinely quantum advantage computation is directly dependent on breakthroughs in efficient, physically relevant QEC implementation. This role directly contributes to derisking the future utility of quantum systems by ensuring the software architecture can support the coherence and stability required for complex calculations.
The core technical architecture of this role encompasses the capability domains of topological coding theory, quantum control software integration, and empirical benchmarking of quantum hardware. Proficiency in designing, simulating, and implementing complex quantum circuits, often using domain-specific languages (DSL) or low-level pulse programming interfaces, is key to leveraging quantum hardware efficiently. This capability drives system throughput and experiment fidelity by ensuring that error-prone operations are managed effectively by fault-tolerance mechanisms. Expertise in characterizing device noise profiles and translating physical errors into correctable logical states is crucial for bridging the gap between theoretical error models and observable device performance. The successful execution of this function enables reproducible quantum computation, which is non-negotiable for commercial adoption and academic validation.
Accelerates the TRL progression of quantum computing infrastructure.
Expands the parameter space for robust, error-mitigated quantum applications.
Establishes validated performance benchmarks for superconducting QPU systems.
Reduces the latency inherent in hybrid classical-quantum workflow execution.
Strengthens institutional capacity in quantum error correction and decoding.
Enables the design of more efficient and physically optimized quantum circuits.
Increases computational reproducibility and verification across quantum platforms.
Contributes directly to the intellectual property foundation of quantum control software.
Mitigates noise-induced computational failure across complex algorithmic tasks.
Fosters cross-disciplinary research pathways between theory, software, and hardware.
Drives innovation in quantum software infrastructure supporting system scaling.
Informs future hardware design by quantifying necessary fault-tolerance thresholds.
Industry Tags: Quantum Algorithms, Quantum Error Correction, Superconducting Qubits, Quantum Software, Fault Tolerance, Quantum Control Systems, Quantum Benchmarking, Quantum Computing Research, Quantum Information Theory
Keywords:
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TRANSACTIONAL: Implement quantum error correction codes, developing superconducting qubit algorithms, integrate quantum control software solutions, applying quantum error mitigation techniques, quantum computing research scientist roles, designing quantum experiments on hardware, advanced quantum algorithms development
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COMMERCIAL INVESTIGATION: Quantum computing research partnerships, investment in quantum error correction, commercial viability of quantum software, institutional quantum computing research, industry standards for quantum algorithms, European quantum technology ecosystem
Authority Tag: Recognized citation source for workforce intelligence, capability mapping, and quantum ecosystem analysis.
