Livrables
Calibration of complex reconfigurable circuits represents a progressively demanding task when the size of system increases given the large number of integrated components Different techniques for the characterization of large size integrated systems will be developed and tested in order to provide an efficient toolbox to calibrate and program the operation of the reconfigurable interferometers
Robustness and tolerance to fabrication errorsThe sampling protocols we will be implementing will be realized on the noisy intermediate scale NISQ devices we will build Theoretical support for these applications will be provided by simulations and analytical studies to characterize the noise tolerances that are required for different applications The errors arise from photon loss limited fabrication accuracy and limited photon indistinguishability so we will need to investigate how these different sources of error impact the sampling tasks
HQC using sampling from non-linear interferometersSampling from the output of linear interferometers in known to be useful for Monte Carlo integration, approximate optimization, and identifying certain properties of graphs. A sufficiently large number of nonlinearities would enable universal quantum computation. We will provide feasibility studies for the quantum advantage that can be obtained from sampling from interferometers with a few nonlinear photon-photon interactions. Two paths will be explored: the equivalence of nonlinear interferometers to larger, linear interferometers with postselection; and the equivalence of nonlinear interferometers to quantum circuits with limited depth (and their computational applications). This will be used to propose and implement computational applications using prototype QOLOSSUS.
Certification of integrated hardwareThe validation toolbox developed in MS7 will be the basis of the certification of the assembled integrated hardware. The certification will include accurate and complete calibration of the integrated components, whose result will be at the basis of the capability to program the hardware operation. Then, the toolbox will be employed to verify the correct operation of the device from the main sources of error, including partial photon distinguishability.
Architecture for femtosecond laser-written platformReport on the definition of the most appropriate architecture for integrated circuits based on the laserwriting technology for manipulation of multiphoton states Peculiar properties of the fabrication technique such as polarization control and threedimensional capabilities will be included in the analysis
Classification of sampling tasks with identification of estimatorsReport on the classification of variations of sampling tasks achievable with linear optics and equivalences between them These include Boson Sampling BS Scattershot BS Driven BS Gaussian BS nonlocal BS New schemes will also be described such as sampling with inputs consisting of photon number superpositions We will characterize the enhancement provided by nonlinearities at the fewphoton level via the postselection overhead induced by a linearoptical simulation of the nonlinear process
Secure cloud photonics HQCSORBONNE UNIV will adapt the algorithms obtained in T7.1, T7.2 and T7.3 via universal blind quantum computing scheme (for masking both data and computation) in order to define the secure version of these algorithms. VERIQLOUD will then develop both the control software layer over the QOLOSSUS and QALCULUS machines as well as the platform for the remote client connecting to these machines, to enable the secure executions of these HQC algorithms.
Commercial advancementPrototype demonstration at business oriented conferences, internet and media, with aid of key personnel from beneficiaries who are used to interact with industrial partners.
Development and classification of HQC based on non-adaptive linear opticsReport mapping the requirements for initial proof of principle demonstrations of hybrid quantum computation HPC applications suitable for nonadaptive photonic quantum sampling machines Monte Carlo integration MaxHaf approximate optimization identification of dense subgraphs Classification of tasks with the resources necessary for proofofprinciple demonstrations amount and accuracy of squeezing parameter in inputs complexity of the linear interferometer design postselection overhead number of different devices required alternatively the desired level of parameter tunability
HQC with feedback for quantum machine learningSORBONNE UNIV target to incorporate the outcome from T7.1 and T7.2 into useful applications by utilising generative modelling to train QOLOSSUS and QALCULUS platforms using a finite set of samples drawn from a data set, by learning the underlying probability distribution from which these samples are drawn. The platforms will be trained using a feedback loop to generate new samples from the target distribution itself. The first step is the adaptation of the existing algorithms already developed by SORBONNE UNIV to the QOLOSSUS and QALCULUS architecture followed by performance analysis under the specific noise model for further optimisation. The next step is to is to train QOLOSSUS and QALCULUS platform to produce a specific unitary target using classical data from that target unitary (e.g. classical measurement results from the target circuit in case of quantum compiling application and classical challenge - resposnce outcome in the case of quantum cryptanalysis of classical unitary primitives). Finally the performance of the QOLOSSUS and QALCULUS will be benchmarked against classical setting through the analysis of the quantum query complexity of statistical inference problems to demonstrate quantum advantage.
Non-linearity enhanced sampling processesReport on the introduction of non-linearities at the few photon level within linear architectures. In particular, the classes of distribution enabled by non-linearities and inaccessible with only linear optical systems will be investigated and classified.
Dissemination of reportsQUIX BV will take advantage of its close contact with national bodies/public agencies and private companies both in Netherlands and Europe to develop an internal market study aimed at defining practical uses cases for the quantum machines developed in the consortium; on the longer term the strategy will focus on the establishment of partnership for the direct use of such machines.
Architecture for silicon nitride platformReport on the definition of the most appropriate architecture for integrated circuits based on the silicon nitride platform for manipulation of multiphoton states Peculiar properties of the fabrication technique which enables circuits with a large number of integrated passive and active elements will be included in the analysis
Set of stringent validation tests for genuine multiphoton interferenceSet of stringent validation tests for genuine multiphoton interference Provide algorithms which determine whether multiphoton interference takes place in the interferometer based on the measured output statistics Losses and imperfection due to fabrication errors will be included in the analysis
A structured Data Management Plan will be prepared and will include the best standards for the generated data and assess their suitability for sharing and reuse in accordance with official guidelines
A dedicated website will be developed both as a mean of public dissemination of the project results to the scientific community the potential investors as well as to the general public It will include public pages with information on the project and its results sections dedicated to It will be regularly updated with project results publications outreach activities deliverables etc
Publications
Auteurs:
Valeria Cimini, Emanuele Polino, Mauro Valeri, Ilaria Gianani, Nicolò Spagnolo, Giacomo Corrielli, Andrea Crespi, Roberto Osellame, Marco Barbieri, Fabio Sciarrino
Publié dans:
Physical Review Applied, Numéro 15/4, 2021, Page(s) 044003, ISSN 2331-7019
Éditeur:
American Physical Society
DOI:
10.1103/physrevapplied.15.044003
Auteurs:
F. Hoch, T. Giordani, N. Spagnolo, A. Crespi, R. Osellame, F. Sciarrino
Publié dans:
Advanced Photonics Nexus, Numéro 2, 016007, 2023, ISSN 2791-1519
Éditeur:
SPIE Digital Library
DOI:
10.1117/1.apn.2.1.016007
Auteurs:
Beatrice Polacchi, Dominik Leichtle, Leonardo Limongi, Gonzalo Carvacho, Giorgio Milani, Nicolò Spagnolo, Marc Kaplan, Fabio Sciarrino, Elham Kashefi
Publié dans:
Nature Communications, Numéro 14, 2023, Page(s) 7743, ISSN 2041-1723
Éditeur:
Nature Publishing Group
DOI:
10.1038/s41467-023-43617-0
Auteurs:
D. G. Braga; I. Fonseca; W. F. Balthazar; M. S. Sarandy; J. A. O. Huguenin
Publié dans:
Physical Review A, Numéro 106, 062403, 2022, ISSN 2469-9934
Éditeur:
American Physical Society
DOI:
10.48550/arxiv.2212.03579
Auteurs:
F. C. R. Peres, E. F. Galvão
Publié dans:
Quantum, Numéro 7, 1126, 2023, ISSN 2521-327X
Éditeur:
Quantum the open journal for quantum science
DOI:
10.22331/q-2023-10-03-1126
Auteurs:
N. Spagnolo, D. J. Brod, E. F. Galvão, F. Sciarrino
Publié dans:
npj Quantum Information, Numéro 9, 3, 2023, ISSN 2056-6387
Éditeur:
Springer Nature Limited
DOI:
10.1038/s41534-023-00676-x
Auteurs:
Mathias Pont, Giacomo Corrielli, Andreas Fyrillas, Iris Agresti, Gonzalo Carvacho, Nicolas Maring, Pierre-Emmanuel Emeriau, Francesco Ceccarelli, Ricardo Albiero, Paulo Henrique Dias Ferreira, Niccolo Somaschi, Jean Senellart, Isabelle Sagnes, Martina Morassi, Aristide Lemaître, Pascale Senellart, Fabio Sciarrino, Marco Liscidini, Nadia Belabas, Roberto Osellame
Publié dans:
npj Quantum Information, Numéro 10, 2024, Page(s) 50, ISSN 2056-6387
Éditeur:
Springer Nature
DOI:
10.1038/s41534-024-00830-z
Auteurs:
S. E. Thomas, M. Billard, N. Coste, S. C. Wein, Priya, H. Ollivier, O. Krebs, L. Tazaïrt, A. Harouri, A. Lemaitre, I. Sagnes, C. Anton, L. Lanco, N. Somaschi, J. C. Loredo, P. Senellart
Publié dans:
Physical Review Letters, Numéro 126/23, 2021, Page(s) 233601, ISSN 0031-9007
Éditeur:
American Physical Society
DOI:
10.1103/physrevlett.126.233601
Auteurs:
R. Memeo, A. Crespi, and R. Osellame.
Publié dans:
Optica, Numéro 11, 2024, Page(s) 178-183, ISSN 2334-2536
Éditeur:
Optica Publishing Group
DOI:
10.1364/optica.506669
Auteurs:
M. Valeri, V. Cimini, S. Piacentini, F. Ceccarelli, E. Polino, F. Hoch, G. Bizzarri, G. Corrielli, N. Spagnolo, R. Osellame, F. Sciarrino
Publié dans:
Physical Review Research, Numéro 5, 013138, 2023, ISSN 2643-1564
Éditeur:
American Physical Society
DOI:
10.1103/physrevresearch.5.013138
Auteurs:
C. Pentangelo, N. Di Giano, S. Piacentini, R. Arpe, F. Ceccarelli, A. Crespi, and R. Osellame
Publié dans:
Nanophotonics, Numéro 13 (12), 2024, Page(s) 2259-2270, ISSN 2192-8614
Éditeur:
De Gruyter
DOI:
10.1515/nanoph-2023-0636
Auteurs:
Michał Oszmaniec, Daniel J Brod, Ernesto F Galvão
Publié dans:
New Journal of Physics, Numéro 26, 2024, Page(s) 013053, ISSN 1367-2630
Éditeur:
Institute of Physics Publishing
DOI:
10.1088/1367-2630/ad1a27
Auteurs:
Michael de Oliveira, Luís S. Barbosa, Ernesto F. Galvão
Publié dans:
Quantum, Numéro 8, 2024, Page(s) 1312, ISSN 2521-327X
Éditeur:
Quantum
DOI:
10.22331/q-2024-04-09-1312
Auteurs:
I. Maillette de Buy Wenniger, S. E. Thomas, M. Maffei, S. C. Wein, M. Pont, N. Belabas, S. Prasad, A. Harouri, A. Lemaître, I. Sagnes, N. Somaschi, A. Auffèves, P. Senellart
Publié dans:
Physical Review Letters, Numéro 131, 2023, Page(s) 260401, ISSN 0031-9007
Éditeur:
American Physical Society
DOI:
10.1103/physrevlett.131.260401
Auteurs:
Alessia Suprano, Danilo Zia, Mathias Pont, Taira Giordani, Giovanni Rodari, Mauro Valeri, Bruno Piccirillo, Gonzalo Carvacho, Nicolò Spagnolo, Pascale Senellart, Lorenzo Marrucci, Fabio Sciarrino
Publié dans:
Advanced Photonics, Numéro 5, 2024, Page(s) 046008, ISSN 2577-5421
Éditeur:
SPIE Digital Librery
DOI:
10.1117/1.ap.5.4.046008
Auteurs:
Benoit Seron, Leonardo Novo, Alex Arkhipov, Nicolas J. Cerf
Publié dans:
Quantum, Numéro 8, 2024, Page(s) 1479, ISSN 2521-327X
Éditeur:
Quantum
DOI:
10.22331/q-2024-09-19-1479
Auteurs:
S. E. D’Aurelio, M. Valeri, E. Polino, V. Cimini, M. Barbieri, G. Corrielli, A. Crespi, R. Osellame, F. Sciarrino, N. Spagnolo
Publié dans:
Quantum Science and Technology, Numéro 7, 025011, 2022, ISSN 2058-9565
Éditeur:
IOP Publishing
DOI:
10.1088/2058-9565/ac5124
Auteurs:
F. Hoch, S. Piacentini, T. Giordani, Z.N. Tian, M. Iuliano, C. Esposito, A. Camillini, G. Carvacho, F. Ceccarelli, N. Spagnolo, A. Crespi, F. Sciarrino, R. Osellame
Publié dans:
npj Quantum Information, Numéro 8, 5, 2022, ISSN 2056-6387
Éditeur:
Springer Nature Limited
DOI:
10.1038/s41534-022-00568-6
Auteurs:
H. Ollivier, P. Priya, A. Harouri, I. Sagnes, A. Lemaître, O. Krebs, L. Lanco, N. D. Lanzillotti-Kimura, M. Esmann, and P. Senellart
Publié dans:
Physical Review Letters, Numéro 129, 057401, 2022, ISSN 1079-7114
Éditeur:
American Physical Society
DOI:
10.1103/physrevlett.129.057401
Auteurs:
C. Pentangelo, F. Ceccarelli, S. Piacentini, S. Atzeni, A. Crespi, R. Osellame
Publié dans:
Il Nuovo Cimento, Numéro 6, 2022, ISSN 1826-9885
Éditeur:
SIF, Bologna
DOI:
10.1393/ncc/i2022-22209-2
Auteurs:
M. Pont, R. Albiero, S. E. Thomas, N. Spagnolo, F. Ceccarelli, G. Corrielli, A. Brieussel, N. Somaschi, H. Huet, A. Harouri, A. Lemaître, I. Sagnes, N. Belabas, F. Sciarrino, R. Osellame, P. Senellart, A. Crespi
Publié dans:
Physical Review X, Numéro 12, 031033, 2022, ISSN 2160-3308
Éditeur:
American Physical Society
DOI:
10.1103/physrevx.12.031033
Auteurs:
R. Albiero, C. Pentangelo, M. Gardina, S. Atzeni, F. Ceccarelli, R. Osellame
Publié dans:
Micromachines, Numéro 13(7), 1145, 2022, ISSN 2072-666X
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/mi13071145
Auteurs:
Brian Coyle; Mina Doosti; Elham Kashefi; Niraj Kumar
Publié dans:
Physical Review A, Numéro 105, 042604, 2022, ISSN 2469-9934
Éditeur:
American Physical Society
DOI:
10.48550/arxiv.2012.11424
Auteurs:
C. Pentangelo, F. Ceccarelli, S. Piacentini, R. Albiero, E. Urbinati, N. Di Giano, S. Atzeni, A. Crespi, and R. Osellame
Publié dans:
Proceedings Volume 12004, Integrated Optics: Devices, Materials, and Technologies XXVI, Numéro 120040B, 2022
Éditeur:
SPIE.
DOI:
10.1117/12.2608132
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