Papers by Giovanna Turvani
A Machine Learning Approach for Queen Bee Detection Through Remote Audio Sensing to Safeguard Honeybee Colonies
IEEE transactions on agrifood electronics, 2024
Enabling High-Quality Compost for a Smart Domestic Production
A Low-complexity Microwave Scanner for Cerebrovascular diseases Monitoring
2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
Many facts about emerging nanotechnologies are yet to be assessed. There are still major concerns... more Many facts about emerging nanotechnologies are yet to be assessed. There are still major concerns, for instance, about maximum achievable device density, or about which architecture is best fit for a specific application. Growing complexity requires taking into account many aspects of technology, application and architecture at the same time. Researchers face problems that are not new per se, but are now subject to very different constraints, that need to be captured by design tools. Among the emerging nanotechnologies, two-dimensional nanowire based arrays represent promising nanostructures, especially for massively parallel computing architectures. Few attempts have been done, aimed at giving the possibility to explore architectural solutions, deriving information from extensive and reliable nanoarray characterization. Moreover, in the nanotechnology arena there is still not a clear winner, so it is important to be able to target different technologies, not to miss the next big thing. We present a tool, ToPoliNano, that enables such a multitechnological characterization in terms of logic behavior, power and timing performance, area and layout constraints, on the basis of specific technological and topological descriptions. This tool can aid the design process, beside providing a comprehensive simulation framework for DC and timing simulations, and detailed power analysis. Design and simulation results will be shown for nanoarray-based circuits. ToPoliNano is the first real design tool that tackles the top down design of a circuit based on emerging technologies.
Preliminary In-Line Microwave Imaging Experimental Assessment for Food Contamination Monitoring
An Integrated Multi-Sensor System for Remote Bee Health Monitoring
Quantum Information Processing, Nov 12, 2022
With noisy intermediate scale quantum computers (NISQ) becoming larger in scale and more reliable... more With noisy intermediate scale quantum computers (NISQ) becoming larger in scale and more reliable, quantum circuits are growing in size and complexity. In order to face the challenge of achieving optimal circuits, design automation approaches for improving and mapping quantum circuits on different architectures have been proposed, each one characterized by a specific optimization strategy. In this article, the use of a template-based approach for quantum circuits optimization purposes is explored, and the proposal of a modular compilation toolchain, which supports three quantum technologies (nuclear magnetic resonance, trapped ions and superconducting qubits), is presented. The toolchain tackles the task of implementing logic synthesis for single-qubit and multi-qubit gates in the compilation process and it is structured with multiple steps and modular libraries. The toolchain was tested through a benchmarking procedure, and the results for a subset of complex quantum circuits as inputs are here reported, alongside a comparison with those provided by the compilers of IBM's Qiskit and Cambridge Quantum Computing's t|ket. The current toolchain prototype was crafted to be an easily expandable and reliable core for future developments,
Optical and Quantum Electronics, Sep 13, 2022
Quantum key distribution (QKD) is believed to represent a viable solution to achieve theoreticall... more Quantum key distribution (QKD) is believed to represent a viable solution to achieve theoretically unconditionally secure key generation. However, the available optical systems for experimental QKD, based on photon transmission, are flawed by non-idealities that ultimately limit the achievable performance. Classical simulation of the optical hardware employed in these systems may take on a determining role in engineering future QKD networks. In this article, attempts for developing a QKD simulator based on low-computational-cost models of the employed hardware are presented. In particular, the simulation infrastructure targets polarization-based QKD setups with faint laser sources, whose behaviour can be described by semiclassical coherent states and Mean Photon Number (MPN) per beam. The effects of passive optical components on the photonic qubit evolution are described by Jones matrices, whose coefficients, for some commercial devices, are stored in an ad-hoc library. Realistic eavesdropping attacks and non-idealities, such as optical losses, fibre attenuation, polarization misalignment and limited efficiency of singlephoton detectors, are also taken into account. The infrastructure allows the user to describe the desired QKD configuration and it provides in output the MPN at the receiver and two fiducial performance parameters: Quantum Bit Error Rate (QBER) and secure key rate. The comparison of the simulation results with experimental data in the state-of-the-art literature highlights that this work is a step forward towards the definition of compact models for the hardware-dependent simulation of quantum-assisted communication networks.
Towards a Microwave Imaging Device for Cerebrovascular Diseases Monitoring: from Numerical Modeling to Experimental Testing
Lecture notes in bioengineering, 2023
IEEE Transactions on Magnetics, May 1, 2023
Dipolar coupled magnets proved to have the potential to be capable of successfully performing dig... more Dipolar coupled magnets proved to have the potential to be capable of successfully performing digital computation in a highly parallel way. For that, nanomagnet-based computation requires precise control of the domain wall nucleation from a well-localized region of the magnet. Co/Pt and Co/Ni multilayer stacks were successfully used to demonstrate a variety of computing devices. However, Ta/CoFeB/MgO appears more promising, thanks to the lower switching field required to achieve a full magnetization reversal, reduced thickness (less than 10 nm), and its compatibility with magnetic tunnel junctions. In this work, the switch of the information is achieved through the application of a magnetic field, which allows to scale more the nanomagnets with respect to current-driven magnetization reversal-based devices and to go toward 3-D structures. We experimentally demonstrate that Ga + ions can be used to tune the energy landscape of the structured magnets to provide signal directionality and achieve a distinct logic computation. We prove that it is possible to define the artificial nucleation center (ANC) in different structures with two irradiation steps and that this approach can enable logic computation in ultrathin films by dipolar interaction. Moreover, different from previous studies, the results coming from the irradiation analysis are then used for real logic devices. We present the experimental demonstration of a set of fully working planar inverters, showing that it is possible to reach a coupling field between the input and the output, which is strong enough to reliably implement logic operations. Micromagnetic simulations are used to study the nucleation center's effectiveness with respect to its position in the magnet and to support the experiments. Our results open the path to the development of more efficient nanomagnet-based logic circuits.
Microwave Imaging Device Prototype for Brain Stroke 3D Monitoring
Ga+ Ion Irradiation-Induced Tuning of Artificial Pinning Sites to Control Domain Wall Motion
ACS Applied Electronic Materials
Quantum Information Processing
With noisy intermediate scale quantum computers (NISQ) becoming larger in scale and more reliable... more With noisy intermediate scale quantum computers (NISQ) becoming larger in scale and more reliable, quantum circuits are growing in size and complexity. In order to face the challenge of achieving optimal circuits, design automation approaches for improving and mapping quantum circuits on different architectures have been proposed, each one characterized by a specific optimization strategy. In this article, the use of a template-based approach for quantum circuits optimization purposes is explored, and the proposal of a modular compilation toolchain, which supports three quantum technologies (nuclear magnetic resonance, trapped ions and superconducting qubits), is presented. The toolchain tackles the task of implementing logic synthesis for single-qubit and multi-qubit gates in the compilation process and it is structured with multiple steps and modular libraries. The toolchain was tested through a benchmarking procedure, and the results for a subset of complex quantum circuits as in...
Optical and Quantum Electronics
Quantum key distribution (QKD) is believed to represent a viable solution to achieve theoreticall... more Quantum key distribution (QKD) is believed to represent a viable solution to achieve theoretically unconditionally secure key generation. However, the available optical systems for experimental QKD, based on photon transmission, are flawed by non-idealities that ultimately limit the achievable performance. Classical simulation of the optical hardware employed in these systems may take on a determining role in engineering future QKD networks. In this article, attempts for developing a QKD simulator based on low-computational-cost models of the employed hardware are presented. In particular, the simulation infrastructure targets polarization-based QKD setups with faint laser sources, whose behaviour can be described by semiclassical coherent states and Mean Photon Number (MPN) per beam. The effects of passive optical components on the photonic qubit evolution are described by Jones matrices, whose coefficients, for some commercial devices, are stored in an ad-hoc library. Realistic ea...
Microwave Imaging Device Prototype for Brain Stroke 3D Monitoring
2022 International Workshop on Antenna Technology (iWAT)
2019 13th European Conference on Antennas and Propagation (EuCAP), 2019
This paper is presenting the first months of research activities within the Marie Skłodowska-Curi... more This paper is presenting the first months of research activities within the Marie Skłodowska-Curie Innovative Training Network "EMERALD" developed by the Politecnico di Torino group. Our research work is related to the development of an electromagnetic device for cerebrovascular diseases imaging and to the hardware acceleration of the implemented imaging algorithms via field-programmable gate arrays or application-specific integrated circuits coupled with regular multicore central processing units and even graphics processing units.
2021 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2021
Out-of-plane NML modeling and architectural exploration
2015 IEEE 15th International Conference on Nanotechnology (IEEE-NANO), 2015
One of the most innovative solutions studied as an alternative technology to CMOS transistors is ... more One of the most innovative solutions studied as an alternative technology to CMOS transistors is represented by NanoMagnetic Logic (NML). It exhibits remarkable characteristics that overcome some intrinsic limitations of CMOS as low power consumption and the possibility to merge logic and memory in the same device. We present the design of a full adder entirely based on single domain out-of-plane nanomagnetic logic (pNML). We propose different solutions of the same circuit which allow us to obtain the best performance in terms of occupied area and timing. We modeled, using VHDL (VHSIC Hardware Description Language), the pNML basic elements and then we performed micromagnetic simulations to demonstrate the correct operation of the circuits.
IEEE Access
Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstraine... more Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer. It mimics the quantum superposition and tunnelling effects through a set of correlated replicas of the spins system representing the problem to be solved and performing Monte Carlo steps. However, the effectiveness of SQA over a classical algorithm strictly depends on the cost/energy profile of the target problem. In fact, quantum annealing only performs well in exploring functions with high and narrow peaks, while classical annealing is better in overcoming flat and wide energy-profile barriers. Unfortunately, real-world problems have a heterogeneous solution space and the probability of success of each solver depends on the size of the energy profile region compatible with its exploration mechanism. Therefore, significant advantages could be obtained by exploiting hybrid solvers, which combine SQA and classical algorithms. This work proposes four new quantum-classical algorithms: Simulated Quantum Parallel Tempering (SQPT), Simulated Quantum Population Annealing (SQPA), Simulated Quantum Parallel Tempering-Population Annealing v1 (SQPTPA1) and Simulated Quantum Parallel Tempering-Population Annealing v2 (SQPTPA2). They are obtained by combining SQA, Parallel Tempering (PT), and Population Annealing (PA). Their results are compared with those provided by SQA, considering benchmark QUBO problems, characterized by different profiles. Even though this work is preliminary, the obtained results are encouraging and prove hybrid solvers' potential in solving a generic optimization problem.
Experimental Testing and Calibration Issues in the Realization of a Microwave Imaging Device for Brain Stroke Monitoring
2019 PhotonIncs & Electromagnetics Research Symposium, 2019
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Papers by Giovanna Turvani