NExt ApplicationS of Quantum Computing

Informazioni relative al progetto

NEASQC

ID dell’accordo di sovvenzione: 951821

DOI

10.3030/951821

Progetto chiuso

Data della firma CE 24 Agosto 2020

Data di avvio 1 Settembre 2020

Data di completamento 30 Novembre 2024

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 4 671 332,50

Contributo UE

€ 4 671 332,50

Coordinato da

BULL SAS
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (25)

Final QRBS software and IDC application

final documentation of RBS,QRBS, cancer diagnosis application

ASG 1.0 and (Open source software)

The final version of the ASG package will be released. It will allow for division of molecules that have an almost linear shape (polymers) into an arbitrary amount of sub spaces. For molecules which are clearly non-linear, up to four subspaces will be possible.Moreover, the final version of BBO will be released. It should now be possible to generate Hamiltonians for reasonably sized molecules with correction beyond the Born-Oppenheimer approximation. It should also be possible to restrict the number of electronic orbitals very strongly, such that the overall number of degrees of freedom stays reasonably small.

RO 1.0 (Open source software)

The final version of the RO package will be released. Including all features discussed in Task 4.4.

QCCC Gamma (Open source software)

The first version of the VQE solver for graphene (+CO2) will be made public, discussed in Task 4.5.

RO Beta (Open source software)

The first version of the readout optimization (RO) package will be available and the first version of the VQE solver for CO2+benzene will be made public, discussed in Task 4.5. RO Beta will contain a method to improve the readout quality by imposing fermionic marginal constraints on the measurement results, and a Bayesian optimizer for the number of measurements.

QNLP pre-alpha prototype

QNLP prealpha prototype

QRBS SW specifications
Implementation of QRL algorithm on real architecture
QNLP Beta prototype v2
VA Beta and BBO Beta (Open source software)

A first version of the Hamiltonian preparation including beyond BornOppenheimer BBO terms will be finished and a first version of our variational algorithms VA package will be finished The BBO module will make use of PySCF and work at first only for very small molecules The VA Package will contain at least the VQEUSSCD Ansatz and a brute force translation to gates

QPSA algorithms and benchmarking

Qbenchmark report on the set of instances defined in D6.6 (M18) and the different recent algorithms explored in this direction and a discussion on their results performances and their practicality for an industrial use

Initial release of libraries

Initial release of libraries, then iterative releases in continuous integration mode between major release.

QPSA Divide and Quantum open source software
Completion of first software suite (Open source software)

We will have a combined release of VA 1.0, ASG Beta and BBO 1.0. This will allow for smooth benchmarking on simulated quantum computers. The individual tools will have the following specifications:• The full VA package will be released. Approaches like UCCSD and VHA will be included. Translation to gate sets will be provided. •A first version of the automatic subspace generation will be finished. It will at least be able to split a molecule into two parts, which can be evaluated independently on a quantum computer. Each part can be passed to BBO and, then to VA 1.0. •A first version of BBO module will be released.

QNLP release candidate

final version

QNLP alpha prototype
QCCC Alpha (Open source software)

The first version of the VQE solver for benzene will be made public discussed in Task 45

Preliminary QRBS software and IDC application specification

first version RBS and QRBS SW, spec doc cancer diagnosis application

myQLM special build

Special build with support of hardware platforms (full compilation chain), including validation report on the platforms

QNLP beta-1 prototype

external version of software libraries and applications, design doc, installation doc, user guide, evaluation report – beta prototype

QPSA Classic Approximations-like approaches State of the art

report: state of the art of approaches dealing with problems similar to PSA static approach

Software package for mesh segmentation tasks, compatible with QLM and related architectures
QPSA Quantum Walks / Markov algorithms

state of the art of quantum Markov algorithms and their application to the problem of PSA in the dynamic case, in addition to a series of test using relevant instances

Final release of libraries
Benchmark suite, in the form of quantum programs suite

Documents, reports (15)

Review of state-of-the-art for Pricing and Computation of VaR

Review of stateoftheart for Pricing and Computation of VaR

Extension of diagrammatical languages (i.e. ZX calculus), to represent Hamiltonians, and the specification of an algorithm to compute the exponential of the Hamiltonian

Extension of diagrammatical languages ie ZX calculus to represent Hamiltonians and the specification of an algorithm to compute the exponential of the Hamiltonian

Evaluation of Quantum algorithms for finance

Final Evaluation of Quantum algorithms for finance

Report on test of the benchmark suite with numerical simulations
QPSA Divide and Quantum benchmark report

report on the results on relevant instances defined in D66 and discussion on the obtained speedup

Update of review of state-of-the-art for Pricing and Computation of VaR

Update of Review of stateoftheart for Pricing and Computation of VaR Value at Risk

QRBS requirements analysis

requirements analysis of the RBS and QRBS frameworks

Benchmarking of QAOA-based algorithms for mesh segmentation, against K-Means, normalized and randomized cuts, and core extraction methods
QPSA Divide and quantum mathematical foundation

study report assumptions mathematical background mathematical developments issues and limitations mathematical approach for solving the problem

Evaluation of quantum algorithms for pricing and computation of VaR
QRBS evaluation report

evaluation results, final report

Specification of QRL algorithm for inventory management
QRBS models, architecture and formal specification

report on mathematical and algorithm models report on simulation results design document

Final Public Report

This report will be based on the Guidelines provided by the European Commission (article 20.4 of the H2020 annotated Model Grant agreement) and will include the following: a final publishable summary of the work completed to date covering results, the conclusions and socio-economic impact of the project, a chapter on awareness and wider societal implications as well as a report on the distribution of the Community financial contribution. It will be presented in conjunction with the final Reports of Communication & Dissemination (D2.8) and of Exploitation (D2.9).

QNLP design and formal specification

Design doc specification doc evaluation methodology doc for the software libraries and applications

Websites, patent fillings, videos etc. (1)

Public website

The public website will be considered in this deliverable It will subsequently be maintained and updated to reflect the projects life

Pubblicazioni

Peer reviewed articles (23)

A Survey on Quantum Computational Finance for Derivatives Pricing and VaR

Autori: Gómez, Andrés; Leitao, Álvaro; Manzano, Alberto; Musso, Daniele; Nogueiras, María R.; Ordóñez, Gustavo; Vázquez, Carlos
Pubblicato in: Archives of Computational Methods in Engineering, Numero 1, 2022
Editore: Springer
DOI: 10.1007/s11831-022-09732-9

Completeness of Graphical Languages for Mixed State Quantum Mechanics

Autori: Titouan Carette, Emmanuel Jeandel, Simon Perdrix, Renaud Vilmart
Pubblicato in: ACM Transactions on Quantum Computing, 2021, ISSN 2643-6809
Editore: ACM
DOI: 10.1145/3464693

Quantum computing with and for many-body physics

Autori: Thomas Ayral, Pauline Besserve, Denis Lacroix, Edgar Andres Ruiz Guzman
Pubblicato in: The European Physical Journal A, Numero Vol 59, Article number 227, 2023, ISSN 1434-601X
Editore: EDP Sciences, Società Italiana di Fisica and Springer Berlin Heidelberg
DOI: 10.1140/epja/s10050-023-01141-1

Improved analytical bounds on delivery times of long-distance entanglement

Autori: Coopmans, T.J.; Brand, Sebastiaan; Elkouss Coronas, D.
Pubblicato in: APS Physical Review A, Numero Vol 105, Numero 1, 2022, ISSN 2469-9926
Editore: American Physical Society
DOI: 10.1103/physreva.105.012608

Equivariant quantum circuits for learning on weighted graphs

Autori: Skolik, Andrea; Cattelan, Michele; Yarkoni, Sheir; Bäck, Thomas; Dunjko, Vedran
Pubblicato in: npj Quantum Information, Numero 9, 2023, Pagina/e Article Number 47, ISSN 2056-6387
Editore: Springer Nature
DOI: 10.1038/s41534-023-00710-y

Quantum Machine Learning Beyond Kernel Methods

Autori: Jerbi, Sofiene; Fiderer, Lukas J.; Poulsen Nautrup, Hendrik; Kübler, Jonas M.; Briegel, Hans J.; Dunjko, Vedran
Pubblicato in: Nature Communications, Numero 14, 2023, Pagina/e 517, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-023-36159-y

Real Quantum Amplitude Estimation

Autori: Manzano, Alberto; Musso, Daniele; Leitao, Álvaro
Pubblicato in: EPJ Quantum Technology, Numero 10, 2023, Pagina/e 2, ISSN 2196-0763
Editore: Springer Nature
DOI: 10.1140/epjqt/s40507-023-00159-0

Noisy intermediate-scale quantum computing algorithm for solving an n-vertex MaxCut problem with log(n) qubits

Autori: Marko J. Rančić
Pubblicato in: Physical Review Research, Numero Vol 5, Numero 1, 2023
Editore: American Physical Society
DOI: 10.1103/physrevresearch.5.l012021

Modelling carbon capture on metal-organic frameworks with quantum computing

Autori: Gabriel Greene-Diniz, David Zsolt Manrique, Wassil Sennane, Yann Magnin, Elvira Shishenina, Philippe Cordier, Philip Llewellyn, Michal Krompiec, Marko J. Rančić & David Muñoz Ramo
Pubblicato in: EPJ Quantum Technology, Numero Vol 9, article number 37, 2022, ISSN 2196-0763
Editore: Springer
DOI: 10.1140/epjqt/s40507-022-00155-w

High Dimensional Quantum Machine Learning With Small Quantum Computers

Autori: Simon C. Marshall; Casper Gyurik; Vedran Dunjko
Pubblicato in: Quantum, Vol 7, p 1078 (2023), Numero 2, 2023, ISSN 2521-327X
Editore: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
DOI: 10.22331/q-2023-08-09-1078

Smooth input preparation for quantum and quantum-inspired machine learning

Autori: Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko & Joseph F. Fitzsimons
Pubblicato in: Quantum Machine Intelligence, Numero 3, 2021, ISSN 2524-4914
Editore: Springer
DOI: 10.1007/s42484-021-00045-x

Uncertainty in Quantum Rule-Based Systems

Autori: Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Álvarez-Estévez
Pubblicato in: Archives of Clinical and Biomedical Research, Numero 05/01, 2021, Pagina/e 42-60, ISSN 2572-5017
Editore: Fortune Journals
DOI: 10.26502/acbr.50170149

Solving various NP-hard problems using exponentially fewer qubits on a quantum computer

Autori: Yagnik Chatterjee, Eric Bourreau, and Marko J. Rančić
Pubblicato in: Physical Review A, Numero Vol 109, 2024, Pagina/e Numero 5, ISSN 2469-9934
Editore: American Physical Society
DOI: 10.1103/physreva.109.052441

A Modular Framework for Generic Quantum Algorithms

Autori: Alberto Manzano; Daniele Musso; Álvaro Leitao; Andrés Gómez; Carlos Vázquez; Gustavo Ordóñez; María R. Nogueiras
Pubblicato in: Mathematics; Volume 10; Numero 5; Pages: 785, Numero 2, 2022, ISSN 2227-7390
Editore: MDPI
DOI: 10.3390/math10050785

A Quantum Computing Implementation of Nuclear-Electronic Orbital (NEO) Theory: Towards an Exact pre-Born-Oppenheimer Formulation of Molecular Quantum Systems

Autori: Arseny Kovyrshin, Mårten Skogh, Anders Broo, Stefano Mensa, Emre Sahin, Jason Crain, Ivano Tavernelli
Pubblicato in: The Journal of Chemical Physics, Numero Volume 158, Numero 21, 2023, ISSN 0021-9606
Editore: American Institute of Physics
DOI: 10.1063/5.0150291

Calculating the ground-state energy of benzene under spatial deformations with noisy quantum computing

Autori: Wassil Sennane, Jean-Philip Piquemal, and Marko J. Rančić
Pubblicato in: APS Physical Review A, Numero Vol 107, Numero 1, 2023, ISSN 2469-9926
Editore: American Physical Society
DOI: 10.1103/physreva.107.012416

Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm

Autori: Charles Moussa, Hao Wang, Thomas Bäck & Vedran Dunjko
Pubblicato in: EPJ Quantum Technology, Numero 9, 2022, Pagina/e 11, ISSN 2196-0763
Editore: Springer Nature
DOI: 10.1140/epjqt/s40507-022-00131-4

Shadows of quantum machine learning

Autori: Jerbi, Sofiene; Gyurik, Casper; Marshall, Simon C.; Molteni, Riccardo; Dunjko, Vedran
Pubblicato in: Nature Communications, Numero 15, 5676, 2024, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-024-49877-8

Extension of the Trotterized Unitary Coupled Cluster to Triple Excitations

Autori: Mohammad Haidar; Marko J. Rančić; Yvon Maday; Jean-Philip Piquemal
Pubblicato in: The Journal of Physical Chemistry A, Numero 127, 15, 2023, Pagina/e 3543-3550, ISSN 1089-5639
Editore: American Chemical Society
DOI: 10.1021/acs.jpca.3c01753

Open source variational quantum eigensolver extension ofthe quantum learning machine for quantum chemistry

Autori: Mohammad Haidar, Marko J. Rancic, Thomas Ayral, Yvon Maday, Jean-Philip Piquemal
Pubblicato in: WIREs Computational Molecular Science, 2023, ISSN 1759-0884
Editore: Wiley
DOI: 10.1002/wcms.1664

Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning

Autori: Skolik, Andrea; Jerbi, Sofiene; Dunjko, Vedran
Pubblicato in: Quantum, Numero Volume 6, 2022, Pagina/e 720
Editore: Quantum
DOI: 10.22331/q-2022-05-24-720

Nonadiabatic nuclear-electron dynamics: a quantum computing approach

Autori: Arseny Kovyrshin, Mårten Skogh, Lars Tornberg, Anders Broo, Stefano Mensa, Emre Sahin, Benjamin C. B. Symons, Jason Crain, Ivano Tavernelli
Pubblicato in: The Journal of Physical Chemistry Letters, Numero 14, 2023, Pagina/e 7065–7072, ISSN 1948-7185
Editore: American Chemical Society
DOI: 10.1021/acs.jpclett.3c01589

Reinforcement learning assisted recursive QAOA

Autori: Patel, Yash J.; Jerbi, Sofiene; Bäck, Thomas; Dunjko, Vedran
Pubblicato in: EPJ Quantum Technology, Numero 11, 6, 2024, ISSN 2196-0763
Editore: Springer Nature
DOI: 10.1140/epjqt/s40507-023-00214-w

Other (2)

Hybrid divide-and-conquer approach for tree search algorithms

Autori: Rennela, Mathys; Brand, Sebastiaan; Laarman, Alfons; Dunjko, Vedran
Pubblicato in: Numero 1, 2021
Editore: Arxiv
DOI: 10.5281/zenodo.5709974

Quantum Computing for Dealing with Inaccurate knowledge using the Certainty Factors Model

Autori: Vicente Moret-Bonillo, Samuel Magaz-Romero and Eduardo Mosqueira-Rey
Pubblicato in: Mathematics, 2022
Editore: MDPI
DOI: 10.3390/math10020189

Conference proceedings (12)

Quantum Distance Calculation for $ε$-Graph Construction

Autori: Chmielewski, Naomi, Mona; Amini, Nina; Jacquot, Paulin; Mikael, Joseph
Pubblicato in: IEEE Quantum Week 2023, 10.1109/QCE57702.2023.00010, Numero 4, 2023
Editore: IEEE
DOI: 10.48550/arxiv.2306.04290

Quantum Graph-State Synthesis with SAT

Autori: Brand, Sebastiaan; Coopmans, Tim; Laarman, Alfons
Pubblicato in: 14th Pragmatics of SAT international workshop, Numero 1, 2023
Editore: Arxiv
DOI: 10.48550/arxiv.2309.03593

Quantum Expectation Transformers for Cost Analysis

Autori: Martin Avanzini; Georg Moser; Romain Péchoux; Simon Perdrix; Vladimir Zamdzhiev
Pubblicato in: LICS '22: Proceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science, Numero 10, 2022, Pagina/e 1-13, ISBN 9781450393515
Editore: ACM
DOI: 10.1145/3531130.3533332

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets

Autori: MOUSSA, C.; Rijn, J.N. van; Bäck, T.H.W.; Dunjko, V.; Pascal, P.; Ienco, D.
Pubblicato in: International Conference on Discovery Science, Numero 2, 2022, Pagina/e 32-46, ISBN 978-3-031-18839-8
Editore: Springer
DOI: 10.1007/978-3-031-18840-4_3

A Decision Diagram Operation for Reachability

Autori: Sebastiaan Brand; Thomas Bäck; Alfons Laarman
Pubblicato in: Formal Methods 2023, Numero 2, 2023, ISBN 9783031274800
Editore: Springer
DOI: 10.1007/978-3-031-27481-7_29

Quantum Approach for Vertex Separator Problem in Directed Graphs

Autori: Ahmed Zaiou, Younès Bennani, Mohamed Hibti, Basarab Matei
Pubblicato in: Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology, Numero vol 646, 2022, ISBN 978-3-031-08333-4
Editore: Springer
DOI: 10.1007/978-3-031-08333-4_40

Application of quantum-inspired generative models to small molecular datasets

Autori: Moussa, C.; Wang, H.; Araya-Polo, M.; Bäck, T.; Dunjko, V.
Pubblicato in: 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Numero 2, 2023, ISBN 979-8-3503-4323-6
Editore: IEEE
DOI: 10.1109/qce57702.2023.00046

Quantum Arithmetic for Directly Embedded Arrays

Autori: Alberto Manzano; Daniele Musso; Álvaro Leitao; Andrés Gómez; Carlos Vázquez; Gustavo Ordóñez; María Rodríguez-Nogueiras
Pubblicato in: Proceedings of 4th XoveTIC Conference, Numero 2, 2021
Editore: MDPI
DOI: 10.3390/engproc2021007045

Graphical Language with Delayed Trace: Picturing Quantum Computing with Finite Memory

Autori: Titouan Carette, Marc de Visme, Simon Perdrix
Pubblicato in: Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021
Editore: IEEE
DOI: 10.1109/lics52264.2021.9470553

Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries

Autori: Magaz-Romero, S., Mosqueira-Rey, E., Alvarez-Estevez, D., Moret-Bonillo, V.
Pubblicato in: ICCS 2023. Lecture Notes in Computer Science, Numero Vol 10477, 2023, Pagina/e 64-71, ISBN 978-3-031-36029-9
Editore: Springer
DOI: 10.1007/978-3-031-36030-5_6

Addition and Differentiation of ZX-Diagrams

Autori: Emmanuel Jeandel, Simon Perdrix, Margarita Veshchezerova
Pubblicato in: Proceedings of the 7th International Conference on Formal Structures for Computation and Deduction (FSCD 2022), 2022
Editore: Dagstuhl Publishing
DOI: 10.4230/lipics.fscd.2022.13

Parametrized quantum policies for reinforcement learning

Autori: Jerbi, Sofiene; Gyurik, Casper; Marshall, Simon C.; Briegel, Hans J.; Dunjko, Vedran
Pubblicato in: NeurIPS (Thirty-fifth Conference on Neural Information Processing Systems), Numero 3, 2021
Editore: NIPS

Book chapters (1)

Tabu-Driven Quantum Neighborhood Samplers

Autori: Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko
Pubblicato in: Evolutionary Computation in Combinatorial Optimization - 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings, Numero 12692, 2021, Pagina/e 100-119, ISBN 978-3-030-72903-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-72904-2_7

Diritti di proprietà intellettuale

Patent (1)

METHOD FOR OPTIMIZING A FUNCTIONING RELATIVE TO A SET OF ELEMENTS AND ASSOCIATED COMPUTER PROGRAM PRODUCT

Numero candidatura/pubblicazione: 21 306155
Data: 2021-08-26
Candidato/i: TOTALENERGIES ONETECH