nonCommutative polynOMial oPtimisation for qUanTum nEtworks

• Applicant: Professorin Dr. Mariami Gachechiladze
• Subject Area: Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas ; Theoretical Computer Science
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 532773714

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.

• DFG Programme: Research Grants
• International Connection: France, Slovenia, Spain
• Partner Organisation: Agence Nationale de la Recherche / The French National Research Agency
• Co-Investigator: Professor David Gross, Ph.D.
• Cooperation Partners: Professor Antonio Acin, Ph.D.; Professor Dr. Igor Klep; Professor Dr. Victor Magron; Professor Dr. Marc-Olivier Renou