Rafale de Thori is a deep technology entrepreneur, with 20+ years of experience in innovation, startups and industrial R&D. Pascal as the CEO of Canada, he leads the company’s North American expansion, promotes quantum computing progress in energy, finance, mobility and materials. Before joining Pascal, he founded a Nanotech company and pulled out, and played the role of leadership in innovation strategy and product industrialization.
Pasqal is a quantum computing company that has evolved over the years of research and development led by experts in the region including the Nobel Prize -winning physicist. The company specializes in neutral atam quantum computing, taking advantage of progress in physics and engineering to develop production-taiyar quantum computers.
Initial initially inherent in laboratory research, Pascal has transfusted in a commercial unit, which offers both hardware and full-stack solutions for enterprises. Its technique aims to bridge the difference between theoretical quantum applications and the use of real world, which provide equipment for implementation in various industries. With focus on scalability and accessibility, the pasqal ranks himself as a prominent player in the growing quantum ecosystem.
Traditional computational models often struggle with handling the huge and complex datasets required for important business decisions. What specific limitations of these traditional systems detect quantum computing, and how can it change decision making for industries with high data demands?
Traditional computing systems struggle with solving complex problems arising from complex data structures and relationships. While they can handle large datasets, they often lack processing power to the complexity and navigate of the intellects within that data. These systems are limited in their ability to find optimal solutions efficiently, especially in real -time scenarios, and they can be energy intensive. Quantum computing excels in addressing these challenges by using quantum superposition and complication to process several possibilities simultaneously. Quantum computing increases the ability to solve complex, multidimensional problems compared to traditional systems. Nutral atom quantum system, their ability to manage complex quantum states, with high data demands, huge solution places in demands, such as adaptation, pattern recognition and simulation, are well adapted Are. While quantum computers are not necessarily better to generate large datasets, their actual power lies in dealing with data from data and dealing with the complexity arising during decision making.
While AI is advanced in processing and analysis of large dataset, it has its own limitations. Quantum computing how does AI’s abilities to handle complex computations or expands? Can you share some specific scenarios where quantum and AI can be added to achieve better results?
The challenge lies in identifying sufficient circumstances to bring value to the AI while working within a limited number of Qube -in obstacles. I am confident that existing quantum machines are working on a scale of hundreds of qubery, AI can give sufficient value for models. This focus represents a clear and obtainable path that the company is actively pursuing.
Quantum and AI can be added to achieve better results in areas such as simulation and hybrid models. Beyond the capabilities of quantum computing AI, can deal with complex simulation such as molecular modeling and high-dimensional data problems. Additionally, hybrid models can improve efficiency by addressing challenges that neither technology can solve alone, handling quantum such as adaptation and processing AI results such as this drug discovery, material science and financial modeling Like it is ideal for applications.
Which are the major industries where quantum computing has immediate appropriateness, and why are areas like energy, oil and gas, and pharmaceuticals are well suited for quantum solutions especially?
Quantum computing, especially with neutral nuclear systems, industries such as energy, oil and gas, pharmaceuticals, healthcare, finance, and logistics have immediate adherence, which either interact directly with atoms or require supercomputes abilities Is. Neutral atoms are already better in materials science, so in imitating neutral nuclear quantum computing matter and positioning atoms with unique accuracy, enabling successes in search of medicine, adaptation of electric grids, molecular structures and here With the satellite position. Unlike classical computers, quantum systems provide better accuracy for problems associated with complex nuclear interactions, making them transformative to energy efficiency, physics and large -scale adaptation challenges focused on challenges.
Looking forward to 2025, what are the major trends you see by shaping quantum and AI landscape?
In the coming year, we are estimating progress in two major areas:
- The first is that the mistake continues to progress on tolerant quantum computing, which has the ability to calculate a quantum computer to calculate even when errors occur with greater error improvement. An example of us going in that direction is Google’s December 2024 declaration of their quantum chip, Willow.
- Another emerging trend is the increasing recognition of the utility of neutral atoms in quantum computing. Neutral atoms are currently particularly notable because they provide more possibilities beyond the mistake-tolerant quantum computing. Another major advantage of neutral atoms is that they are much more energy efficient than standard quantum computing. This speed is inspired by their ability to give meaningful results using a more analog approach, especially the exact position of atoms. This perspective is expected to pave a clear route for further progress in the region.
Can you share Pascal vision for the future of quantum computing and how it aligns with anticipated technical successes?
Pasqal imagines a future where analog quantum computing complex complex industrial challenges to complement the traditional high-performance computing system. By focusing on tangible results today, the purpose of Pasqal is to get quantum benefits before the mistake-tolerant quantum computing is viable. This vision aligns with European ambition to deploy the first supercomputer with quantum acceleration by 2025, paving the way for cutting-edge quantum capabilities by 2030.
Pasaqal is progressing by combining scientific innovation with Pasqal practical industrial applications, with proven success in quantum simulation for material science and progress for material science and progress through quantum graph machine learning. This integrated approach ensures that quantum computing provides meaningful value to users globally within this decade.
Pascal has pioneered neutral nuclear quantum technology, known for its speed and energy efficiency. Can you run us how this technology differs from other quantum approaches and the unique benefits provided by it?
Neutral nuclear quantum technology emphasizes energy efficiency higher than raw speed. Although it can work more slowly due to the condition and accuracy required to re -organize atoms, its strength lies in the ability to control the qualities with extraordinary accuracy. This technique provides unique benefits than other types of quantum computing, such as scalability and flexibility, with configured arrays in 2D or 3D structures. Beyond the accurate position, it enables complex interactions and simulation, which is particularly well suited for applications seeking high precision and resource-skilled calculations.
Pascal system is notable for its low power consumption, compared to the energy use of a hair dryer. How does this stability factor affect industries to reduce their carbon footprints?
There are two different effects of stability that can provide neutral nuclear quantum computing. The first benefit is its ability to use much less energy than AI or traditional computing. By adopting quantum technologies, even more basic understanding, the next generation of quantum systems can have a major durable effect, which helps industries to reduce their carbon footprints by achieving powerful computational results. Is.
The second effect is how the quantum can only benefit the energy industry. A 2024 study published in energy highlights how quantum computing can reduce environmental impact by increasing renewable energy forecast. This adaptation can promote the performance of batteries and solar technologies, while potentially can reduce hydrogen production costs by 60%. For example, quantum computing can improve solar cell efficiency from about 20% to 40%, paving the way for more affordable renewable energy solutions.
What role do Pascal’s full-stack ecosystems play in providing a spontaneous experience for customers? Can you share more about the components of this stack and expertise supporting it?
Pasqal’s strategy is to make quantum computing accessible and relevant for businesses at various levels. Whether it is engaged in basic research or practical, business-focused solutions, Pasqal connects its quantum technique to each company’s specific requirements. Our goal is to provide a ecosystem that meets the diverse requirements of our customers, which at the forefront of innovation offers everything from basic research to those who are practical for businesses, user for user friendly solutions With the aim of optimizing operations and integrating quantum technology. With this full-stack approach, any organization can detect and take advantage of quantum technology, in which they need support and equipment. The ecosystem of Pasqal is designed to provide a spontaneous experience and to ensure that quantum technology can be easily integrated into diverse industries.
With various clients of Pascal in areas such as finance, aerospace and healthcare, is there any specific success stories or case studies that you can share that highlights the effect of quantum?
Pascal’s cooperation with EDF, the largest energy provider in France and a leader in the global energy market who is committed to the rapidly changing industry scenario, is a prime example of the impact of quantum computing in industries. EDF, while facing challenges in forecasting and adaptation of energy demand, participated with Pasqal to increase its abilities. In particular, cooperation helped EDF to simulate environmental variables affecting renewable energy production, adapt energy distribution, and to simulate the aging of materials in nuclear power plants, which are examples of the tasks that are the first Classical computing methods were limited by methods. This partnership displays the power of quantum computing in energy, providing more accurate simulation and possible progress in areas such as smart charging and energy production forecast for electric vehicles.
How close are we to be a part of day-to-day business operations for the quantum application? What role do you play in making quantum a viable option for more industries?
Quantum application, especially in the discovery of chemistry and medicine, are close to forming mainstreams. Pasqal focuses on these areas, understanding that for adoption, we should meet the needs of a specific industry. With its expertise in neutral nuclear quantum technology, Pasqal is well deployed to create a real impact. Even limited applications can lead to transformational success. Pasqal demonstrates quantum gains within the next two years in the next two years of cases, with pharmaceutical drug growth and groundbreaking progress in screening within the next five years. The role of Pasqal will be important in making quantum a viable, accessible option for more industries, which will help them integrate quantum solutions in business operations and achieve meaningful value before the end of the decade.
Thanks for the great interview, those who want to learn more, should visit Pascal.
