Christophe Pere, PhD

As part of the Applications team at Nord Quantique, I work at the intersection of quantum hardware and end-user applications, bridging the gap between cutting-edge bosonic quantum processors and real-world problems. My role involves: • Translating complex scientific and industrial challenges into quantum workflows compatible with Nord Quantique’s unique bosonic architecture. • Designing and implementing quantum algorithms and applications, adapting and optimizing them to fully exploit the advantages of error-corrected bosonic qubits. • Collaborating closely with hardware, theory, and software teams to ensure that feedback from application-level testing informs hardware development and system-level improvements. • Interfacing with academic and industry partners, helping to build proof-of-concept demonstrations and explore use cases in areas such as quantum simulation, optimization, and machine learning. • Driving the development of scalable, noise-resilient quantum applications tailored to near-term and long-term capabilities of bosonic hardware. This position sits at the core of Nord Quantique’s mission to push the boundaries of fault-tolerant quantum computing, focusing on practical impact and deep integration across the quantum stack.

- Doing research in quantum computing, quantum machine learning - Students supervision - Partnerships

As Scientific Director at PINQ², I lead cutting-edge research at the intersection of artificial intelligence and quantum computing. My role bridges academia, industry, and government to transform innovative ideas into real-world solutions. 🚀 I design and drive complex research projects, from early-stage ideation to execution. I collaborate with universities and researchers to push the boundaries of science, secure access to quantum computing infrastructure, and develop impactful partnerships. I also oversee a dynamic team of researchers and students, fostering both scientific excellence and innovation. 🤝 On the industry side, I engage with clients to shape and co-create projects that align with strategic goals, and secure funding to turn vision into reality. Whether it's through conferences, hackathons, or global events, I stay at the forefront of technological evolution. My mission: to make Quebec a global leader in applied quantum innovation and AI.

My work focuses on applied research in quantum machine learning, quantum optimization, simulation, and hybrid quantum-classical approaches to address real-world challenges. I advise organizations on the feasibility and development of quantum research projects, helping them define their strategy and roadmap. I lead and manage scientific committees, design and conduct research projects, publish academic papers, and speak at conferences. I also contribute to workforce development by building and delivering courses and training programs for both universities and industry partners. In parallel, I supervise students and support the development of robust MLOps architectures to bridge research and deployment in AI and quantum contexts.

The objective is to realize QML projects to apply fundamental research into applications to help enterprises.

https://pere-christophe.medium.com/

Applied research in deep learning applied to authentication in cybersecurity.

- Built and led a high-performing R&D team, driving innovation across AI and quantum computing initiatives. - Defined and managed the research roadmap, aligning strategic goals with technical capabilities. Oversaw two major partnerships with Université Laval, coordinating efforts among 14 professors and 9 graduate students (M.Sc. and Ph.D.), and bridging academic research with industry applications. - Facilitated cross-functional collaboration between business units, VPs, and technical teams to identify impactful research directions and foster alignment. - Led data science projects in partnership with business teams, translating complex research into actionable insights. - Organized and led scientific and technical discussions, presentations, and knowledge-sharing sessions to engage stakeholders and promote research visibility.

Research aim in the field of NLP using insurance data in order to predict vehicle losses. Exploration of different machine learning methods and deep learning methods.

Sujet : L'exoplanète Venus : Détermination des propriétés atmosphériques des exoplanètes en transit Etude de la réfraction atmosphérique de Venus lors des transits de 2004 et 2012. Développement de tous les outils numériques et physiques pour la réalisation de la thèse.

This course took place from October 2020 to May 2021. Students developed a foundational understanding of quantum computing, with topics including introductory linear algebra, coding with Qiskit, quantum mechanics, quantum algorithms, and quantum applications.

Géologie spécialité géochimie et cristallographie