After 18 months since the beginning of project CAPABLE, all the partners (CNR-IFN, Sapienza university and ICFO) have met in Barcelona (Spain) for the presentation of the current results and to discuss the next experiments. A warm thanks to ICFO and in particular to Dr. Hugues de Riedmatten, that hosted the meeting and gave the opportunity to all the three partners to share new ideas for the development of the project in the next months.
Efforts to develop quantum computers are motivated by the promise of a tremendous speedup in several computational tasks such as quantum simulation or factoring. A milestone in this quest will be to provide evidence of quantum supremacy, which occurs when a quantum device solves a family of problems faster than state-of-the-art classical computers. The technological race toward this achievement goes hand in hand with the development of classical protocols that can discern genuine quantum processes. Here, we provide a step forward in this direction by presenting a machine-learning algorithm to detect malfunctions within a class of quantum hardware used to demonstrate quantum supremacy, relying only on experimental data.
3D nano-optical devices created directly inside dielectric crystals like YAG and sapphire by exploiting femtosecond laser pulses. This discovery is very important, because to date, through the conventional techniques of micro- and nano-processing, it is only possible to modify these crystals on their surface, thus obtaining purely 2D structures. These results pave the way for the development of new-generation photonic devices.
Experimental implementation of a reconfigurable integrated multimode interferometer designed for simultaneous estimation of two optical phases. We verify the high-fidelity operation of the implemented device and demonstrate quantum-enhanced performances in two-phase estimation with respect to the best classical case, post-selected to the number of detected coincidences. This device can be employed to test general adaptive multiphase protocols due to its high reconfigurability level, and represents a powerful platform to investigate the multiparameter estimation scenario.