Project: Work plan


Work packges (WP):

WP1: Management, dissemination, exploitation, communication
WP leader: INFN
Participating partners: all
Aim of WP1: To manage and coordinate Qu3D to a high standard, and to maximize its impact through dissemination and exploitation of its results and communication actions.
Tasks:
T1.1: Project management
T1.2: Dissemination, exploitation, communication

WP2: Ultra-fast single-photon detectors and electronics
WP leader: PKH
Participating partners: all
Aim of WP2: This WP is intended to the design and prototypal implementation of the SPAD arrays, the acquisition and the data processing electronic boards. The first SPAD array will be adopted early on in WP4 in order to test the experimental set-up and refine the data acquisition and processing needs. Assessed needs will contribute, together with algorithms specifications from WP3, to define the design of the board.
The sensor system will be optimized for the QPI application, and its characterization will contribute to additional specifications.
The improved system will be integrated with a fast communication interface to deliver frame sequences to a GPU, running the algorithms for image reconstruction and optimization.
Tasks:
T2.1: Advanced SPAD array systems
T2.2: Embedded acquisition- processing board
T2.3: Algorithms optimization for GPU

WP3: Data processing and super-resolution algorithms for quantum plenoptic imaging
WP leader: UPO
Aim of WP3: The activity will be mostly focus on data-processing algorithms for quantum plenoptic cameras and analysing super-resolution possibilities of those devices based on quantum Fisher information.
The main tasks are:
1) prepare protocols for plenoptic data processing based on compressed sensing and machine learning to effectively process large datasets produced by experimental setups;
2) 3D reconstruction of QPI data using quantum tomography and maximum likelihood principles;
3) Super-resolution for a particular set of object parameters based on the fundamental limits sets by quantum Fisher information.
Tasks:
T3.1: Algorithms for fast image reconstruction
T3.2: Reconstruction of QPI data based on quantum tomography
T3.3: QPI optimization based on quantum Fisher information

WP4: Quantum plenoptic imaging devices
WP leader: INFN
Participating partners: all
Aim of WP4: The activity will be mostly experimental and will be oriented at the design, realization and optimization of two quantum plenoptic cameras.
All deliverables and main results from WP2 and WP3 will be employed here in view of the specific objectives O.1, O.2, O.3
Tasks:
T4.1: Prototype of a single-lens quantum plenoptic camera
T4.2: Demonstrator of an entanglement-based plenoptic camera
T4.3: Super-resolved quantum plenoptic imaging