Lasers are a ubiquitous technology in optical communication, sensors, LiDAR or emerging quantum science and technology. Yet, the principles by which lasers are manufactured have remarkably not changed since the invention of the laser: they are assembled by hand, using bulk components or optical fibers. While integrated lasers based on silicon photonics exist, they do not challenge such high performance legacy lasers systems. FORTE will change this notion. Building on a recent breakthrough in the field of low loss integrated photonics it is today possible to create lasers that are low cost, wafer scale manufacturable that have better performance that the fiber laser the workhorse of fiber sensing and gold standard in coherence. The overarching ambition of this EIC transition project is to develop a prototype and mature photonic integrated circuit-based frequency-agile ultra-low noise laser technology, and apply it to the domain of fiber sensing and FMCW LiDAR, and to develop a scalable manufacturing. The unique selling points (USP) of the platform are that it is based on photonic integrated circuit technology that is scalable, flexible, reconfigurable, and extremely high performance in terms of optical coherence and frequency-agility. The technology is based on a patented approach that combines ultra-low loss photonic integrated circuits based on silicon nitride, with MEMS technology, as used in wireless technology. The approach addresses the need for low-noise laser sources in multiple domains of photonic sensing including distributed fiber optic sensing (DFOS) and coherent laser ranging (FMCW LiDAR). The consortium includes companies in fiber sensing, LiDAR as well as in the development of industrial manufacturing tools. The results will be commercialized by the involvement of SME in fiber sensing, and a dedicated startup to bring hybrid integrated frequency agile low noise lasers to the market.

The Skyrmionic Artificial Neural Network (SkyANN) presents a groundbreaking paradigm for neuromorphic computing, closely emulating brain neurophysiology by combining skyrmionic quasiparticles, which mimic neurotransmitters and facilitate complex computations at the synapse level, with electrical CMOS connections that simulate the propagation of action potentials among neurons for rapid and dense inter-layer connectivity. Our innovative magneto-electric devices aim to achieve energy consumption four orders of magnitude lower than CMOS technology and double the bandwidth for the same device footprint, enhancing edge inference and learning capabilities. This approach challenges contemporary neural networks implemented with CMOS digital, mixed-signal, and emerging in-memory computing technologies, which are limited by lower energy efficiency and reliability. Building on preliminary results from SkyANN partners, we plan an ambitious endeavor to develop a first-of-its-kind magneto-electric neural network, showcasing the promising potential of this novel technology. Along the way, we will refine materials, processes, design methodologies, and architectures to prepare the European micro- and nano-electronics ecosystem for the future, while supporting the EU's Green Deal vision. Our well-balanced consortium brings together complementary expertise and extensive knowledge, spanning from device physics to circuits and architectures across multiple layers of design abstraction. As a result, the SkyANN consortium is poised to facilitate the rapid transfer of fundamental discoveries to relevant industrial stakeholders, accelerating impact and reinforcing European strengths in the economically, geopolitically, and socially vital semiconductor sector.

Transparent ferroelectric oxide crystal with a strong 2nd-order optical nonlinearity are a paramount building block for electro-optical and nonlinear photonics bridging the electromagnetic spectrum from electrostatics and THz fields to optical frequencies. Currently, smart-cut ferroelectric thin films such are revolutionizing integrated photonics, overcoming the traditional limitations of bulk lithium niobate and silicon-on-insulator photonic integrated circuits such as low power efficiency and speed. Despite more than half a decade of tremendous scientific progress in the field, predominately using lithium niobate thin films, many technological and commercial hurdles have emerged compounding their adoption. The goal of ELLIPTIC is to overcome these limitations and to close the technology gaps that are still inherent to photonic integrated circuits based on ferroelectric thin films. LTOI will open new paradigm for nonlinear integrated photonics, based on its unique properties, such as a high optical damage threshold, reduced photorefractive effect, ultra-low optical and microwave loss and low birefringence. Moreover, LTOI leverages the existing micro-electronic manufacturing infrastructure due to its widespread adoption for 5G cellular signal filters. We will demonstrate the transformative potential of the LTOI platform for applications across various domains including optical and millimeter-wave communications, signal processing, metrology, frequency-comb generation, and quantum technologies, such as the transduction of quantum signals between superconducting microwave devices and optical fibers. The development of an process design kit (PDK) will democratize access to the technology for academia and the R&D communities.

ATYPIQUALs main objective is to unveil a room temperature quantum technology platform based on a novel generation of Atomically Precise graphene nanoRibbons (APRs) and demonstrate its feasibility through technologically relevant devices. By definition, quantum technologies exploit the peculiar quantum properties of matter such as superposition, tunneling, and entanglement to develop tools and devices with new, non-classical functionalities. However, derived using conventional top-down techniques, these technologies lack atomic precision and are much more sensitive to environmental disturbances as compared to the electrical current switching in transistors. As such, they often require ultra-low temperature operation and impose important constraints on their general applicability. This makes their manipulation and integration to chip-scale substrates a major challenge. ATYPIQUAL is a highly interdisciplinary project that proposes a radically different high-risk bottom-up approach that uniquely offers to naturally 'hard-wire' complex quantum states into atomically precise carbon nanostructures: APRs. They exhibit novel physical properties beyond graphene such as topological quantum phases and spin polarization, all tailorable by their topology and edge structure. However, the demonstration of these electronic properties requires atomic precision control that can only be achieved through recent advances in bottom-up synthesis. We shall exploit atomically precise bottom-up on-surface synthesis to develop these novel advanced APRs offering on-demand multi-functionalities while relying on a single graphene nanoribbon backbone. By developing the required material processing and device fabrication steps and demonstrating the first technologically relevant feasibility examples, ATYPIQUAL will set the stage for a new quantum technology platform for atomically tunable multifunctional devices with applications in next-generation electronics, photonics and spintronics.