NExt ApplicationS of Quantum Computing

Risultati finali

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

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

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
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

QNLP design and formal specification

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

QNLP pre-alpha prototype

QNLP prealpha prototype

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 Divide and Quantum open source software
QCCC Alpha (Open source software)

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

Public website

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

Pubblicazioni

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

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

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

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

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

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

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

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

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

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

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Risultati finali

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