Design and implementation of benchmark quantum simulations for models of relevance to fundamental physics theories. Development and testing of hardware-specific error mitigation protocols and their interplay with optimal control techniques.
Design and simulation of planar coupled superconducting qubits by optimising geometries, dimensions and placement of each qubit, as well as coupling elements.
WP leaders: Danilo Labranca (University of Milano-Bicocca and INFN Milano Bicocca), Felix Klaus Ahrens (Fondazione Bruno Kessler and INFN TIFPA)
Design and simulation of 3D transmon qubit devices by optimising geometries, dimensions and placement of each qubit, as well as coupling elements.
WP leaders: Alessandro D’Elia (INFN LNF), Simone Tocci (INFN LNF)
Development of microfabrication and packaging processes for 2D and 3D superconducting qubits; investigation of new fabrication processes, materials and innovative fabrication techniques.
WP leaders: Claudio Puglia (INFN PI), Federica Mantegazzini (Fondazione Bruno Kessler and INFN TIFPA)
WP5: Software and Readout Development
Development of an FPGA-based hardware and software architecture tailored for readout of single qubits, coupled qubits and qubits with tunable coupling. This includes optimisation of firmware and software components for characterisation, measurement and analogue quantum simulation.
WP leaders: Stefano Carrazza (University of Milano and INFN MI), Andrea Giachero (University of Milano-Bicocca and INFN MIB)
Design, development and optimization of Josephson Parametric Amplifiers (JPAs) and Traveling-Wave Parametric Amplifiers (TWPAs) operating at the quantum noise limit to enhance sensitivity and fidelity of quantum measurements.
WP leaders: Sergio Pagano (University of Salerno and INFN SA), Nicolò Crescini (Fondazione Bruno Kessler and INFN TIFPA)
WP7: Characterisation, Measurement and Demonstration
Characterisation of key parameters of the designed and fabricated qubits, analysis of qubit-qubit interactions, and optimisation of control sequences for high-fidelity quantum operations.
WP leaders: Alessio Rettaroli (INFN LNF), Marco Faverzani (University of Milano-Bicocca and INFN MIB)
Development of quantum machine learning protocols for the analysis of data from fundamental physics experiments, and exploration of quantum sensing applications.
WP leaders: Leonardo Banchi (University of Florence and INFN FI), Claudio Gatti (INFN LNF)
Ensure efficient project coordination, progress monitoring and broad dissemination of results to the scientific community and stakeholders.
WP leaders: Andrea Giachero (University of Milano-Bicocca and INFN MIB), all other Local Responsibles