Innovative data post-processing for quantum key distribution
Aspects of cyber security, quantum theory and the system hardware are combined in an innovative data post-processing for the QKD, thus enabling highly secure keys and higher transmission rates.
The aim of the project "Post-Processing for Quantum Key Distribution with Continuous and Discrete
Variables (QuNET+ProQuake)" is to develop software for data post-processing for QKD. Such software is necessary for secure QKD, because every key distribution at the recipient generates measurement data that can only be used
as a secret key after complex post-processing. In the course of the project, the researchers want to implement this data post-processing at the software and hardware level, taking into account various relevant QKD protocols. With the
help of the QKD post-processing platform to be developed, the project team will examine physical, information-theoretical and implementation-specific security aspects in detail. Thus, the security of future highly secure quantum
communication infrastructures is guaranteed from the start.
The planned development of the QKD post-processing platform goes far beyond the state of the art and will enable higher key rates to be achieved. At the same time, the new process promises greater security. In addition, the solution
is compatible with existing and future QKD components. The research work is therefore also of great relevance for the QuNET initiative, because the researchers can use the technology to implement new key experiments and further develop
existing QKD systems. The participation of the industrial partners in the project promotes the spread of quantum-based communication systems in Germany and Europe. The project thus contributes to strengthening Germany's
technological sovereignty in quantum communication technologies at an early stage and in the long term.
European electro-optic and nonlinear PIC platform based on lithium niobate
First European Lithium Niobate on Insulator PIC Platform
The ELENA project promises to benefit the entire photonics sector by developing the first European lithium niobate on
insulator (LNOI)-based platform for photonic integrated circuits (PICs) and establishing the first open-access foundry service for LNOI technology. LNOI is a novel electro-optic and nonlinear PIC
platform. It offers enhanced performance and new functionalities for ultra-high-speed telecom networks, optical signal processing, programmable PICs, sensing and spectroscopy, LIDAR applications,
quantum information processing and quantum computing. ELENA is a collaborative Research and Innovation Action funded by the European Commission under the Horizon 2020 programme.
More details in the Project's Press Release!
Providing Resilient & secure networks – Operating on Trusted Equipment – to Critical infrastructures
The AI-Net umbrella project is an effort to Accelerate the digital transformation in Europe by Intelligent Network automation at each network segment, i.e. edge, metro, core and data centers.
Complete network automation is a clear pre-requisite for the efficient use of highly integrated and flexible edge infrastructures which are programable across all its components, from basic connectivity setup to
fully virtualized network functions and application components.
AI-Net will explore a number of use cases spanning the technology challenges of services being deployed and operated at the network edge, in order to distil the various scenarios and deployments of each use case,
and thereby the technical requirements as well as the values. It will research and develop technologies specific for an edge infrastructure, which is characterized by a large number of edge locations, heterogeneous
hardware and site configurations, resource constrained compute environments, a mix of base technologies for virtualization platforms and transport networks, and finally supporting critical services in customized
The primary focus of the AI-NET-PROTECT (Providing Resilient & secure networks – Operating on
Trusted Equipment – to Critical infrastructures), sub-project of AI-Net, is to provide automated resilience and secure networks operated on trusted equipment to critical
infrastructures and enterprises. AI-NET-PROTECT will ensure the protection of critical data, network performance (like latency, throughput, availability), and infrastructure (against tampering and attacks).
To achieve these objectives, the project will develop a scalable network and node architecture to address the diverse KPIs by a mix of open and purpose build hardware and software including white boxes. Network
telemetry and intent-based software-defined network management and control will provide zero-touch provisioning and support artificial intelligence based automation of end-to-end services. Strong security based
on multi-layer cryptography, agile crypt-functions, and quantum-safe algorithms will form an integral part for the developed architecture. The key use cases for AI are performance optimization, proactive fault
and anomaly detection, penetration and vulnerability testing, and security incident management.
European Training Network – Wideband Optical Networks
The project WON is a doctoral-level training network funded by the European Commission under Horizon2020 Marie Sklodowska-Curie ITN Action.
Solutions identified within WON will enable full exploitation of the total capacity of optical fibres to sustain efficiently the Internet traffic growth and to overcome a possible traffic-crunch. A special focus of the
research is dedicated to developing novel digital signal processing (DSP) algorithms to increase the overall system performance. WON provides cost effective and realistic solutions to current bandwidth saturation, which
is progressively impairing already deployed networks.
WON goal is to train a new generation of research engineers is being achieved thanks to a doctoral level training network that will benefit from challenging interactions between industry and academia.
Sliceable multi-QAM format SDN-powered transponders and ROADMs Enabling Elastic Optical Networks
VPIphotonics' core technical contribution to the project will be in work package "Component and System Specifications and Requirements".
The team will participate in formulating the project's use-cases, network requirements and performance indicators, defining the system and component
specifications, as well as take an active role in the development of the TRx DSP algorithms that are central to the
QAMeleon's technological objectives.
VPI leads a task where system and component modeling and simulation takes place. The work that will be carried out here will constitute the first verification
of the project's proposed system concepts. Heavy interaction with work packages related to components fabrication will take place to aid the design and
development cycle, and ensure that performance targets are met. Furthermore, VPI will also actively support the experimental verification effort, contributing
with researchers, as well as its commercial lab automation software (VPIlabExpert), in the laboratory and field
trial validations of the developed technology.
More details in our Press Release!