Capgemini, a global leader and a lead front of cloud and digital platforms, that focuses on consulting, digital transformation, technology, and engineering services, creates its own team of quantum technology experts and high-end laboratory to coordinate research and explore the areas of Quantum Computing, Quantum Communications and Quantum Sensing. Capgemini also signed a contract with IBM to help clients build and maximize their engagements in the areas of Quantum Computing.
The Q-Lab will be established in the United Kingdom, Portugal, and India. Capgemini will coordinate research initiatives to generate business-driven client proposals for the industries most likely to profit from quantum technologies in the medium term, such as life sciences, finance, automotive, and aerospace. It will also speed the development of in-house skills and capabilities by driving early experimentation with clients on their quantum journeys.
The contract signed by Capgemini with IBM will provide its clients access to IBM’s quantum computing systems, including the recently announced 127 qubit processor dubbed “Eagle,” as well as IBM’s quantum expertise and Qiskit, IBM’s open-source quantum information software development kit.
The collaboration of the two widens the network of Capgemini, joins the rest of more than 170 IBM Quantum Network members, including Fortune 500 corporations, start-ups, academic institutions, and research labs. The IBM Quantum team and clients are working together to research and explore how quantum computing might benefit a range of industries and disciplines, including finance, energy, chemistry, materials science, optimization, and machine learning, among others.
Because of this agreement, Capgemini will make it easier for its clients to access IBM’s licensed technology and deliver professional services for end-to-end deployment through this partnership. Its goal is to demonstrate the potential benefit of utilizing quantum technology to solve previously intractable business challenges for clients via prototypes and proofs of concepts, leading to the deployment of quantum computing use cases.
The Q-lab will focus on three areas of value creation for clients:
- Quantum Computing. The use of quantum characteristics to do computations is referred to as quantum computing. Problems requiring complicated optimization, simulation, or machine learning are the most common application areas. Companies that rely on high-performance computing, such as molecular design in life sciences, fluid dynamics in aerospace, and stochastic financial models, will be the first to gain.
- Quantum Communications. The use of Quantum mechanics to convey and control information. Quantum-secure communications have the potential to make a huge influence on science, industry, and data security. It also aims to give clients access to the new world of possibilities opened up by quantum technology, particularly in terms of secure computing, data storage, and sharing.
- Quantum Sensing. The measuring of quantum states, which are particularly sensitive to disturbance, is referred to as quantum measurement. Quantum sensing is at the heart of advancements in medical diagnostics, autonomous transportation, and intelligent enterprises. It can aid in the exact measurement of electric and magnetic fields, the comparison of physical quantities to atomic properties, and the use of quantum entanglement to improve sensitivity and precision.
Capgemini has been helping customers become quantum ready through consultancy, strategic, engineering, and algorithmic development solutions, utilizing its Applied Innovation Exchange network, engineering teams, ecosystem alliance partners, and peer network. The German Federal Office for Information Security recently tasked the Group, in collaboration with Fraunhofer IAIS, with leading a study on Quantum Machine Learning for IT security.
Capgemini is a part of IBM’s partner ecosystem, which enables all types of partners to help clients manage and modernize workloads, whether they build on, service, or resell IBM hybrid cloud and AI technologies.
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