Under the High Patronage of Mr Emmanuel MACRON President of the French Republic

This presentation explores Quandela’s strategic pathway to achieving fault-tolerant quantum computing through its proprietary photonic platform. It traces the evolution from today’s NISQ-era processors to scalable, error-corrected architectures, highlighting the unique advantages of deterministic single-photon sources, room-temperature operation, and seamless optical networking. Attendees will gain insight into Quandela’s full-stack approach — from cutting-edge hardware and error mitigation techniques to software, cloud services, and ecosystem partnerships — and see how these elements converge in a clear roadmap toward commercially viable, large-scale, fault-tolerant quantum systems.

In a world of continual change and acute geopolitical challenges, quantum technologies represent a bridge between the past and the future of research. Europe has the opportunity to position itself as a key player in the QT landscape. Yet this requires a clear strategic vision and an ongoing commitment to support research and innovation, international promotion, and security protection in critical technology sectors. In order to strengthen Italy's position, actions aimed at enhancing research and innovation, improving access to infrastructure, and stimulating private investment have been identified. In addition to the funding of basic research, the creation of public-private collaborative networks, nationally and internationally, is considered crucial to promote applied research and technology transfer.

Equal1 has released Bell-1, a plug-and-play, rack-mounted quantum computer that needs no external cooling or components and fits into a standard 22U rack. This is the first proof point of Equal1’s vision to integrate quantum into today’s infrastructure, rather than requiring massive installations for future quantum computers. We will discuss our progress on qubits, advancements in the cryo-CMOS controller chip (including an ARM core at 300 mK), and details of the Bell-1 machine.

The National Quantum Science and Technology Institute is a consortium that conducts competitive and innovative research in Quantum Science and Technology (QST). NQSTI addresses the entire innovation chain, from the strengthening and coordination of the low-TRL research to its translation into prototypes, favoring interfacing with industrial needs thanks to strong outreach and continued-education programs. NQSTI particularly intends to: (i) team up Italian entities carrying out competitive and innovative research; (ii) stimulate future industrial innovation in the field; (iii) provide a forum in which novel ideas and opportunities are transferred to companies; (iv) favor successful Italian participation in European and international programs.

Quantum for Bio (Q4Bio) is a $50M supported challenge program by Wellcome Leap, aimed at accelerating the application of quantum computing to human health. Designed to drive rapid, measurable progress, Q4Bio unites leading experts in quantum hardware, algorithms, and life sciences to address pressing problems in healthcare through a milestone-based model. This talk will present the program’s vision, highlight its distinctive challenge structure, and share high-level updates on the progress, early results, and emerging breakthroughs from participating teams.

As quantum computing transitions from theoretical promise to practical reality, cloud platforms are playing a crucial role in making this transformative technology accessible to organizations of all sizes. In this talk, we will explore how AWS is pioneering the integration of quantum computing capabilities into the cloud, empowering customers to explore, experiment, and harness the power of this technology in the future.

Telecommunication networks are the backbone of modern society and military operations, yet they face unprecedented risks and opportunities in the quantum era. This talk explores how quantum technologies can both secure critical telecom infrastructure and transform its defense capabilities.

The first practical construction of quantum supercomputers has only occurred in the past year. In this talk, IQM will present how together with the Leibniz Rechenzentrum (LRZ) and the Munich Quantum Valley (MQV), we built a quantum supercomputer and the unique scientific capabilities it unlocked.

I will be presenting a new Quantum Lidar scheme that can be used with a variety of wavelength including infrared and microwaves that detects the photon absorption through measurements of the polarisation of its entangled photon. Carrousel Digital schemes are all patented or patent pending.

Designing useful quantum algorithms may seem like a daunting task. I will showcase how our quantum lab has been involved in improvements for some essential algorithms with application in pharma use cases. This highlights the importance of continued research efforts and collaboration in this area.

As many quantum computing hardware vendors publish or update their roadmap, end-users are struggling to understand it and evaluate these vendors capability to deliver and how to match these roadmaps with their application needs. Olivier Ezratty will connect the dots here. He will also compare past vendor roadmaps and actual delivery, explaining why the related time cycles to deliver are most of the time longer to deliver. He will also describe the untold scalability challenges that vendors tend to minimize and the various trade-offs that they have from fundamental science to engineering and technology development. It will relate to the role of chips manufacturing, enabling technologies roadmaps, and estimated investment and operation costs of these future computers.

This talk will discuss the vision for quantum networks at the US Air Force Research Laboratory including the development of heterogeneous qubit technologies. Recent developments in fiber-based and free space quantum network testbed will also be presented.

Recent advances in quantum computing hardware and software have heightened expectations for a paradigm shift in our ability to model every stage of drug discovery and development. The prospect of tackling exponentially complex problems is especially compelling. In this talk, I will present some of the work done at AstraZeneca, where we are exploring how quantum computing can be harnessed to address some of the most challenging issues in the field.

QuantumNet is an Italian startup specializing in quantum computing, founded in 2021 as a spin-off of NetCom Group and the University of Naples Federico II. It develops hybrid quantum-classical solutions, fosters research and education, and is part of the IBM Quantum Startup Program. Key initiatives include quantum optimization algorithms for smart cities and Italy’s first Quantum Computing Academy.

Superconducting Nanowire Single-Photon Detectors (SNSPDs) have emerged as a key enabling technology for the advancement of quantum applications, offering unparalleled performance in terms of detection efficiency, timing resolution, low dark count rates, and photon-number resolution. In this presentation, we explore the growing commercial relevance of SNSPDs across quantum communication, quantum computing, quantum sensing, and imaging. We will highlight recent technological developments, challenges in large-scale deployment, and emerging business opportunities tied to the integration of SNSPDs into scalable quantum systems. Particular focus will be placed on the transition from research-grade setups to field-deployable, robust detector solutions that meet the demands of quantum industry stakeholders in terms of commercializable technology.

In the NISQ era, simulating complex molecular systems like sulfonyl fluoride-containing drug candidates requires quantum algorithms that minimize circuit depth to suit current hardware limitations. By integrating Hamiltonian truncation, Clifford Decomposition and Transformation (CDAT), and optimized transpilation, we achieved up to a 28.5-fold reduction in circuit depth, enabling one of the largest electronic structure Hamiltonian dynamics simulations on IBMQ’s Heron architecture with direct relevance to pharmaceutical development.

We present a photonic quantum computing platform that implements deterministic two-qubit gates using a single photon. By encoding multidimensional qubits (qudits) in the orbital angular momentum (OAM) of light, our approach eliminates the need for ancillary photons and nonlinear interactions. The platform is compatible with silicon photonics, operates at room temperature, and enables scalable, fault-tolerant quantum logic via topological error detection. This architecture paves the way for high-density quantum processors suited for edge computing and hybrid AI applications.

QSENSATO develops and markets atomic-photonic chips for quantum sensing and metrology applications. By leveraging patented integrated laser-written vapor cells (LWVCs) the company aims to enable atomic quantum sensors with unparalleled robustness, precision and size reduction.

This case study explores the application of quantum annealing to solve a high-stakes problem in Software Defined Networks (SDNs): selecting network paths that minimize operational risk due to compromised or insecure components. Leveraging D-Wave’s quantum annealer, the team designed a Quadratic Unconstrained Binary Optimization (QUBO) formulation to integrate key cybersecurity metrics—confidentiality, integrity, availability, and trust—into real-time routing decisions. The quantum-enhanced model was benchmarked against classical solvers and simulated annealing, showing promising improvements in performance and solution diversity. This case study is joint work from TNO (The Netherlands Organisation for Applied Scientific Research) and NCIA (NATO Communications and Information Agency).

Quality of life is a critical factor in treatment monitoring but remains challenging to evaluate due to its complex, multidimensional nature. Voice biomarkers provide a promising, non-invasive approach, as voice production is highly complex and sensitive to changes in both physical and mental health. This talk explores how Quantum Reservoir Computing can capture these complex patterns in vocal data, advancing digital health and patient-centered care.

HorizonX, in collaboration with MIT, invites senior executives to a session on the urgent need for quantum education and leadership readiness. We will introduce the MIT Quantum Bundle — a 5-course, 7-certificate program designed specifically to equip non-technical leaders with the knowledge to make informed strategic decisions as quantum computing shifts from the lab to real-world impact. The session will highlight why now is the critical moment for boards and executives to upskill: quantum is advancing rapidly, reshaping cybersecurity, finance, healthcare, and global competitiveness. This collaboration ensures leaders gain practical, accessible insights into the opportunities, risks, and strategies needed to future-proof their organizations.

I will present efforts toward applying quantum computing to drug design, highlighting approaches that integrate quantum algorithms with pharmaceutical R&D workflows. Particular focus will be given to where neutral-atom quantum computers may provide unique value. The talk will outline both near-term opportunities and long-term directions for utilizing quantum computers in the pharmaceutical domain.

Scaling quantum sensors such as gyroscopes from the lab to practical use requires solving a mission-critical problem: embedding complex physics into robust, miniaturised, industrial-grade control units. In this talk, we present Cosylab’s experience from the GIRAFFE project, where we co-developed a compact RFSoC FPGA-based control system for a diamond NV-centre quantum gyroscope. We will share lessons on integration, miniaturisation, and risk reduction, and how these insights translate into accelerated development of MVPs and prototypes for quantum sensing startups.

The Paris Region initiated the Quantum Pack in 2020. It aims at co-funding collaborations between industries and quantum start-ups from the region on a practical use case. So far, this initiative has encountered a broad success, enhancing the dynamism of the local ecosystem and attracting new players on the field.

Photonic quantum computing is a unique platform for scalability, offering natural interconnection and low sensitivity to decoherence. We review our recent progress in developing quantum processors that harness semiconductor devices as deterministic sources of single and entangled photons. We compare the resources required to implement a logical qubit and demonstrate a million-fold reduction thanks to our hybrid approach, compared to purely photonic approaches.

In this lecture, I will share key insights from a unique journey that spans three transformational waves in technology. From my experience as CTO at Check Point during the rise of the cybersecurity revolution, to my current focus on quantum technologies and deeptech investing, I will highlight the pivotal lessons learned along the way. The session will explore how disruptive technologies emerge, mature, and reshape industries, as well as the role of venture capital in guiding startups through the critical stages of growth. Attendees will gain practical perspectives on innovation leadership, scaling deeptech ventures, and preparing for the opportunities and risks of the coming quantum era.

AI researchers wanting to experiment with quantum machine learning face a major obstacle: they must learn quantum computing fundamentals and complex frameworks. In contrast, most data scientists using modern architectures, like transformers, have only a vague notion of how they work internally, yet can use them out of the box. Meanwhile, quantum ML researchers often lack the practices that drove AI progress—like benchmarking and reproducible code. Quandela built MerLin, a quantum ML framework integrated with PyTorch, to address both issues. MerLin wraps quantum circuit modeling—architecture selection, ansatz design, input encoding—behind a PyTorch-familiar interface. Researchers can add quantum layers into classical pipelines with just a few lines of code. The framework uses linear optical quantum computing operations with built-in GPU simulators and provides access to real quantum hardware via cloud services.

South Korea stands at the forefront of the quantum cloud revolution in Asia, propelled by the region’s most substantial government investment in quantum technology. Through unprecedented funding initiatives, strategic public–private partnerships, and integration of quantum computing into national R&D priorities, South Korea is accelerating the development and deployment of quantum cloud platforms. This strong fiscal commitment not only fosters cutting-edge research and commercialization but also positions the country as a central hub for quantum innovation, shaping the competitive landscape across Asia.

Aerospace is an industry characterized by generation of vast amounts of data, often requiring rapid analysis to accurately predict and robustly detect any abnormality. This talk will delve into quantum-enhanced anomaly detection, employing various robust quantum-enhanced AI solutions for analyzing aerospace data to predict, and detect anomalies. It will shed light on both the potential advantages and disadvantages of using quantum-enhanced Bayesian methods compared to classical approaches in defect detection tasks.

In this deck we present what are the latest open questions regarding implementation of Quantum Computing in our operational framework

Major industrial players are no longer just watching from the sidelines — they are experimenting, challenging, and demanding results. This panel gives the floor to those who now expect quantum technologies to meet real, operational, and strategic needs.

Quantum computing is a major strategic issue for technological and strategic sovereignty for France and Europe. Since 2021, France has been investing heavily in this field, with over 550 million euros from France 2030 allocated to research, training, and industrialization, supporting 80 projects and creating 20 start-ups. Europe, facing competition from the United States and China, must develop its own quantum technologies to ensure its independence. The European strategy must aim to position Europe as a global leader, emphasizing co-design to optimize performance and meet the specific needs of European applications. Quantum computing is an essential lever to maintain sovereignty and strategic autonomy in the global digital transformation.

The key challenge facing current quantum computers is implementing efficient quantum error correction (QEC). While many QEC schemes exist in theory, their real-world performance can differ greatly under realistic hardware constraints and noise—making large-scale, accurate simulation essential for testing and comparison. QuEra and QPerfect partnered to explore and benchmark the potential of matrix product states (MPS) to simulate logical circuits with non-Clifford gates at unprecedented scales. To push the limits of simulation, we focus on a 15-to-1 magic state distillation circuit with up to 289 qubits, multiple rounds of error correction, and non-Clifford gates. Using QPerfect's MPS-based emulator MIMIQ and multiple circuit-level optimizations such as qubit/gate ordering, we successfully simulate this challenging circuit exactly in just minutes.

The talk presents a novel architecture for quantum-enhanced social robotics designed to support users. The system follows a classical–quantum–classical processing pipeline: user inputs (textual or multimodal) are encoded into embeddings and compressed via autoencoders trained with triplet loss. Moreover, incremental learning mechanisms are employed to support the addition of new strategies and to manage data drift in emotion classification.

Quantum technologies are emerging as a pivotal area of development, with the potential to reshape industries and establish new global leadership positions. To transition from the current phase of innovation to full industrialization, efforts must be directed towards three key areas: funding, strategy, and ecosystem development. This talk examines these three pillars, offering an overview of the international landscape surrounding the development of quantum technologies, with a particular focus on quantum computing.

Born in 2005, Systematic Paris Region has structured, organized, and managed a full ecosystem of deep tech in 20 years to become the first cluster in Deep Tech in Europe. Systematic Paris Region brings together an ecosystem of over 900 members, including startups, SMEs, large corporations, research institutions, investors, and local authorities, focusing on seven key technological hubs: Data Science & AI, Cyber & Security, Digital Infrastructure, Advanced Engineering & Computing (including quantic), Optics & Photonics, Open Source, and Drones. The cluster accelerates collaborative R&D projects to address major economic and societal challenges, such as the digital transformation of territories, industry and services (e.g., Industry 4.0), and society (e.g., healthcare and sustainability), across sectors like energy, telecoms, transport, and smart cities. Through initiatives like SME development, business networking, and international partnerships, it has supported over 600 projects, generating billions in R&D investments and fostering job creation while enhancing the global attractiveness of the Paris region. Systematic is backed by the French government, the European Regional Development Fund, and regional authorities, positioning Île-de-France as a “French Silicon Valley” for complex systems and ICT. All key startups in Quantic in Paris Area are members of Systematic.

The EQUALITY consortium united Airbus, Pasqal, UniLeiden, INRIA, DLR, Fraunhofer, DaVinci Labs, and Capgemini in effort to develop quantum algorithms tailored to key industrial challenges in the domains of energy and aerospace. This case study highlights relevant and tested use cases along with their business impact. We will focus on how the collaborative approach enabled the project. We also suggest a roadmap for integrating quantum technologies into industry, emphasizing why end-to-end tailored pipelines and strategic use-case selection are critical for mid-term success.

Quantum Machine Learning (QML) is widely regarded as one of the most promising near-term applications of quantum computing. In this work, we introduce a photonic quantum convolutional neural network (QCNN) architecture designed for classification tasks. Our approach leverages the natural strengths of photonic hardware—including scalability, low energy consumption, and native implementation of linear transformations—to build a noise-resilient QML model. Benchmarking against classical baselines, we find that photonic QCNNs can achieve competitive accuracy. Crucially this benchmark shows that when complexifying the dataset, we have an advantage for quantum models in the number of needed parameters to reach a given accuracy. To explore concrete applications, we are partnering with Orange to investigate the use of photonic QCNNs for malware detection in cybersecurity. Malware search and classification represent a critical industrial challenge, where fast and energy-efficient pattern recognition can deliver substantial business value. By combining photonic hardware with advanced QML architectures, our collaboration aims to demonstrate how quantum computing can address real-world security threats while maintaining sustainability and scalability.

This talk is about how we can speed up progress in quantum technology. I'll use lessons from the history of computing and my own work to show that bringing different fields and skills together is the most powerful way to turn quantum’s potential into real-world benefits. We'll explore what it takes—from better education to smart policies—to make this technology a reality for everyone.

Olivier Ezratty will look at the prospects of the energy consumption of FTQC quantum computers based on published roadmaps. It will refine the definition of an energetic quantum advantage, laying out the interconnection between the economics of quantum computing and its viable applications, which impacts the notion of energy consumption acceptability. It will show how utility-grade algorithms resource and time estimates bring new questions on the energetic and power costs of quantum computing. It then will identify key emerging scalability challenges and their related potential energetic costs and constraints. It will show how systems architecture design, trade-offs and optimizations strongly influence the energetic footprint of FTQC quantum computers.

This talk compares Europe’s diverse national quantum strategies with the United States’ more centralized approach, highlighting how each reflects unique strengths in industry, research, and policy. It explores key divergences such as Europe’s focus on QKD versus the U.S. emphasis on PQC, and differing investments in applications, modularity, and workforce. Combining qualitative insights with market data, the session provides a nuanced view of national quantum efforts and implications for the global ecosystem.

Quantum error correction is key to unlocking the power of quantum computation, but it requires many additional qubits. In this talk I will give an overview of the research at Inria Paris on low-overhead quantum error correction using biased-noise qubits and quantum low-density parity-check codes.

As governments race for quantum advantage, tech sovereignty agendas are reshaping international cooperation, even among allied countries. Although aimed at bolstering national competitiveness and resilience, sovereignty-focused measures in procurement, trade, and beyond risk fragmenting nascent markets and supply chains, raising costs, and slowing technology deployment—outcomes that could weaken shared economic and security interests while advantaging common geopolitical adversaries. This talk will explore the motivations and practical avenues for strategic international engagement, balancing domestic objectives with the mutual benefits of cooperation.

"The energy consumption of quantum computers is emerging as a critical metric for their scalability and societal impact. In this work, we present the first quantitative analysis of the energetic efficiency of photonic quantum computers, using Boson Sampling as a case study. We evaluate the energy cost of state-of-the-art photonic hardware and identify operational regimes where photonic platforms consume less energy per sample than both classical supercomputers and superconducting quantum processors. Remarkably, this quantum energetic advantage appears even before the threshold for computational advantage. To explore business applications of this finding, we are partnering with BTQ to investigate the role of energy-efficient photonic sampling in blockchain consensus protocols, as outlined in their recent proposal on quantum Proof-of-Work [arXiv:2305.19865]. This partnership highlights how energetic considerations can accelerate the path from fundamental quantum research to scalable, sustainable, and commercially relevant use cases."

Analog quantum devices, like those developed at QuEra and Pasqal, offer the unique capability of efficient control of all of the qubits simultaneously, referred to as global control. What types of computations are possible with such devices has been an open question until now. We have demonstrated that in theory these devices can, in principle, do any computation, and in practice we demonstrate this by realizing a novel, unanticipated operation relevant for material simulations.

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