ERC FUNDED PROJECTS

Our understanding of the emergence and dispersal of the earliest tool-making hominins has been revolutionised in the last decade, with sites in eastern Africa and China pushing both events more than half a million years earlier than previously thought. Traditional models linking biological speciation, cultural innovation and migration events with climatic pulses have remained theoretical, and recent discoveries suggest that the picture of the earliest human colonization across the Old World is far more complex, demanding heuristic approaches to understand the biogeography and adaptive behaviours of early humans. This project will be the first substantive attempt to produce a global synthesis of earliest human occupation dynamics by comparing the world’s longest sequences of early archaeological sites, namely eastern Africa and China. Our objective is to understand the alternative evolutionary trajectories adopted by hominins that shared an overarching biological and cultural background, but who faced different climatic and biogeographic challenges and opportunities. The ambition of our global-scale objectives is accompanied by the unmatched quality of our datasets and the ground-breaking perspective we will adopt in their study. Fieldwork in the two most renowned sequences in each region alongside a primary study of additional top-quality assemblages in both subcontinents, will be combined with extensive metadata sets to produce comprehensive views of temporal trends and paleoecological patterns. Our state-of-the-art methodological sets (which combine an exceptionally diverse range of disciplines from geochemistry to niche modelling) and ground-breaking analytical perspective (which considers data from micro-stratigraphy to satellite imaging) will enable us to develop new approaches to challenge established paradigms and produce a new picture of the biogeographic adaptations of early stone-tool makers.

2 499 996 €

Start date: 2019-10-01, End date: 2024-09-30

Given a quantum system, how can one ensure that it (i) is entangled? (ii) random? (iii) secure? (iv) performs a computation correctly? The concept of quantum certification embraces all these questions and CERQUTE’s main goal is to provide the tools to achieve such certification. The need of a new paradigm for quantum certification has emerged as a consequence of the impressive advances on the control of quantum systems. On the one hand, complex many-body quantum systems are prepared in many labs worldwide. On the other hand, quantum information technologies are making the transition to real applications. Quantum certification is a highly transversal concept that covers a broad range of scenarios –from many-body systems to protocols employing few devices– and questions –from theoretical results and experimental demonstrations to commercial products–. CERQUTE is organized along three research lines that reflect this broadness and inter-disciplinary character: (A) many-body quantum systems: the objective is to provide the tools to identify quantum properties of many-body quantum systems; (B) quantum networks: the objective is to characterize networks in the quantum regime; (C) quantum cryptographic protocols: the objective is to construct cryptography protocols offering certified security. Crucial to achieve these objectives is the development of radically new methods to deal with quantum systems in an efficient way. Expected outcomes are: (i) new methods to detect quantum phenomena in the many-body regime, (ii) new protocols to benchmark quantum simulators and annealers, (iii) first methods to characterize quantum causality, (iv) new protocols exploiting simple network geometries (v) experimentally-friendly cryptographic protocols offering certified security. CERQUTE goes at the heart of the fundamental question of what distinguishes quantum from classical physics and will provide the concepts and protocols for the certification of quantum phenomena and technologies.

1 735 044 €

Start date: 2020-01-01, End date: 2024-12-31

One of the major challenges of sustainable chemistry is expanding the palette of bio-based chemicals that can replace, or at least ameliorate, the exploitation of fuel-based chemicals. Cell-free metabolic engineering using soluble enzymes is an emerging and versatile approach that seeks to increase the selectivity and productivity of chemical biomanufacturing processes. However, soluble and isolated enzymes present major issues in terms of efficiency, stability and re-usability that hamper industrial applications. To solve these problems, enzymes can be rationally immobilized on smart materials resulting in robust, efficient and self-sufficient heterogeneous biocatalysts, but immobilization is still restricted to simple enzyme cascades. METACELL mission is developing self-sufficient artificial metabolic cells (AMCs) by immobilizing complex metabolic networks on hierarchical porous materials. To this aim, the solid surfaces must play an active role in the chemical process rather than just being a mere immobilization support. This integrative proposal will exploit protein engineering, surface chemistry, bio-organic chemistry and protein immobilization tools for the successful development of 1) a cell-free artificial metabolism, 2) innovative engineering tools to modify both enzyme and material surfaces and 3) continuous synthesis of industrially relevant fine chemicals catalyzed by AMCs packed into flow reactors. The resulting technology of METACELL will serve as a prototyping platform to test artificial biosynthetic pathways with application in combinatorial chemistry (e.g drugs discovery). METACELL may also offer long-term solutions for the on-demand production of drugs at the point-of-care. In addition to the technological outputs, METACELL will also provide essential information to understand how spatial organization of multi-enzyme systems affect the performance of in vitro biosynthetic pathways confined into artificial chassis (solid materials).

1 995 894 €

Start date: 2020-01-01, End date: 2024-12-31

Quantum simulators (QS) are experimental systems that allow mimic hard to simulate models of condensed matter, high energy physics and beyond. QS have various platforms: from ultracold atoms and ions to superconducting qubits. They constitute the important pillar of quantum technologies (QT), and promise future applications in chemistry, material science and optimization problems. Over the last decade, QS were particularly successful in mimicking topological effects in physics (TEP) and in developing accurate quantum validation/certification (QVC) methods. NOQIA is a theory project, aimed at introducing the established field of QS+TEP+QVC into two novel areas: physics of ultrafast phenomena and attoscience (AS) on one side, and quantum machine learning (ML) and neural networks (NN) on the other. This will open up new horizons/opportunities for research both in AS and in ML/NN. For instance, in AS we will address the question if intense laser physics may serve as a tool to detect topological effects in solid state and strongly correlated systems. We will study response of matter to laser pulses carrying topological signatures, to determine if they can induce topological effects in targets. We will design/analyze QS using trapped atoms to understand and detect TEP in the AS. On the ML/NN side, we will apply classical ML to analyze, design and control QS for topological systems, in order to understand and optimize them. Conversely, we will transfer many-body techniques to ML in order to analyze and possibly improve performance of classical machine learning. We will design and analyze quantum neural network devices that will employ topology in order to achieve robust quantum memory or information processing. We will design/study attractor neural networks with topological stationary states, or feed-forward networks with topological Floquet and time-crystal states. Both in AS and ML/NN, NOQIA will rely on quantum validation and certification protocols and techniques.

2 164 244 €

Start date: 2019-07-01, End date: 2024-06-30