Projects
Secure Multi-Party NISQ Computations (SecNISQ)
Description: SecNISQ is a project aimed at creating a platform for multi-client server distributed quantum computing while addressing the challenge of maintaining the integrity and privacy of data processing. The goal is to optimize secure multi-party quantum computing frameworks for currently available NISQ devices and industry use cases through use-case analysis, classical and quantum sub-protocol designs, and numerical simulations.
Our contribution: Robust and resource-efficient quantum protocol design
Hybrid Quantum Initiative (HQI)
Description: Hybrid HPC Quantum Computing Platform combines classical supercomputers with the first quantum accelerator devices. The R&D program focuses on validating hardware, software, and application-related developments, and developing and new functionality for current and future QPUs.
Our contribution: QML algorithms, noise characterization and mitigation, multi-core quantum computation.
PEPR NISQ2LSQ
Description: The project aims to significantly accelerate R&D in the theory and design of efficient error-correcting codes in hardware, focusing on bosonic codes and LDPC codes for superconducting and photonic circuits. It aims at demonstrating a fault-tolerant prototype quantum processor based on cat-qubits and to prepare for rapid scaling towards LSQ by the end of the project. In the photonics field, the aim is to define measurement-based computing architectures based on these codes and to experimentally demonstrate the necessary elements for their construction. In the LDPC code field, the focus is on developing essentially optimal codes in terms of encoding rate and error correction, efficient decoding algorithms, and fault-tolerant logical operations specific to LDPC codes.
Our contribution: Bosonic quantum computation and error correction.
Efficient QUantum ALgorithms for IndusTrY (Equality)
Description: EQUALITY consortium, consisting of scientists, innovators, and industrial players, aims to develop cutting-edge quantum computer algorithms to solve eight complex industrial problems including airfoil aerodynamics, battery design, fluid dynamics, space mission optimization, materials design, multidisciplinary optimization, space data analysis, and fuel cell design. By tackling these computationally complex problems with quantum computers, the consortium hopes to give a competitive edge to the European industry, while also contributing to technologies critical to the green transition. However, the use of today’s quantum hardware has limitations that require strategies and software approaches to maximize the available quantum computers’ capabilities.
Our contribution: Efficient error characterization, algorithm design.
Quantum Internet Alliance (QIA)
Description: QIA’s mission is to develop a full-stack prototype network for a global Quantum Internet made in Europe, while driving innovation in the European Quantum Internet ecosystem. Their specific goals are to establish an innovative platform for Quantum Internet development and advance Quantum Internet technology through the integration of all sub-systems into a prototype network. Their ultimate objective is to build two metropolitan scale networks containing quantum processors connected by a long-distance fiber backbone using quantum repeaters to demonstrate inter-networking capability and pave the way towards a true Quantum Internet.
Our contribution: Co-design of client’s hardware and protocols for secure delegated quantum computation.
Quantum Machine Learning with Cat Qubits (QML Cat)
Description: The field of quantum computing is rapidly developing, with a particularly active branch focusing on machine learning. In a constantly evolving landscape, industrial users must evaluate the relevance of future quantum solutions for their specific problems and estimate their scalability for real-world instances. This project aims to determine the potential of certain quantum machine learning algorithms to take advantage of architectures using cat-qubits to improve their resistance to noise and scalability.
Our contribution: Noise propagation and algorithm optimization.
Efficient Verification of Quantum computing architectures with Bosons (VeriQuB)
Description: Quantum devices offer great promise for computation, cryptography, communication, and sensing. Alternative approaches to quantum information processing in which bosonic modes are the carriers of information have attracted increasing attention, because they offer a hardware-efficient path to fault-tolerance and scalability thanks to their inherently large Hilbert space. However, this poses the problem of providing rigorous guarantees of the correct functioning of these promising bosonic architectures, a task known as quantum verification. To date, this verification is performed by general-purpose tomographic techniques, which rapidly become intractable for large quantum systems. Thus, other methods are needed as quantum devices are scaled up to achieve real-world advantages. VeriQuB aims to develop a new approach to the efficient verification of quantum computing architectures with bosons, using continuous-variable measurements.
Our contribution: Verification protocol design, bosonic resource theory, complexity theory.
