QuantERA Call 2023 - Quantum Phenomena and Resources (QPR) - QuantERA Call 2023 - Quantum Phenomena and Resources (QPR)

nonCommutative polynOMial oPtimisation for qUanTum nEtworks – COMPUTE

Submission summary

The quantum internet will drastically change the way we process information, communicate and compute. The last decade saw the development of the first small-medium size quantum networks, prototypes of this ambitious long-term goal. These already existing real-world quantum networks open new possibilities for quantum information processing. New recent protocols show that they offer a radically new range of application of quantum technologies, e.g., for certification tasks based on Bell nonlocality of quantum correlations, cryptography, or fault-tolerant quantum computation. However, the potentialities they offer are primarily ignored: in nowadays experiments, quantum networks are mainly used to simulate single quantum states, e.g., the standard Alice and Bob scenario. Genuine quantum network protocols remain mostly experimentally infeasible due to their unrealistic theoretical requirements, e.g., in terms of noise.
With COMPUTE, we will drive the future development of quantum networks by (1) providing a coherent framework to guide the theoretical study and real-world development of quantum networks, (2) making possible the implementation of real-world quantum network protocols and (3) developing a framework for distributed quantum computing running on the quantum network architecture to outperform noisy intermediate-scale (single processor) quantum computers. From a methods perspective, COMPUTE will meet these objectives by dramatically improving existing noncommutative polynomial optimisation methods central to tackling quantum information problems. COMPUTE will (4) cross the traditional boundaries between the polynomial optimisation and quantum information communities by making the former's tools accessible to the latter and the latter's challenges available to the former.

Project coordination

Marc-Olivier RENOU (Centre de recherche Inria de Saclay)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

LAAS-CNRS Laboratoire d'analyse et d'architecture des systèmes
Inria Saclay - Ile de France - Equipe CPJ Centre de recherche Inria de Saclay
ICFO ICFO - The Institute of Photonic Sciences
University of Ljubljana
TUDA TU Darmstadt

Help of the ANR 987,364 euros
Beginning and duration of the scientific project: July 2024 - 36 Months

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