NExt ApplicationS of Quantum Computing

Livrables

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

Publications

A Survey on Quantum Computational Finance for Derivatives Pricing and VaR

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

Completeness of Graphical Languages for Mixed State Quantum Mechanics

Auteurs: Titouan Carette, Emmanuel Jeandel, Simon Perdrix, Renaud Vilmart
Publié dans: ACM Transactions on Quantum Computing, 2021, ISSN 2643-6809
Éditeur: ACM
DOI: 10.1145/3464693

Improved analytical bounds on delivery times of long-distance entanglement

Auteurs: Coopmans, T.J.; Brand, Sebastiaan; Elkouss Coronas, D.
Publié dans: APS Physical Review A, Numéro Vol 105, Numéro 1, 2022, ISSN 2469-9926
Éditeur: American Physical Society
DOI: 10.1103/physreva.105.012608

Equivariant quantum circuits for learning on weighted graphs

Auteurs: Skolik, Andrea; Cattelan, Michele; Yarkoni, Sheir; Bäck, Thomas; Dunjko, Vedran
Publié dans: npj Quantum Information, Numéro 9, 2023, Page(s) Article Number 47, ISSN 2056-6387
Éditeur: Springer Nature
DOI: 10.1038/s41534-023-00710-y

Quantum Machine Learning Beyond Kernel Methods

Auteurs: Jerbi, Sofiene; Fiderer, Lukas J.; Poulsen Nautrup, Hendrik; Kübler, Jonas M.; Briegel, Hans J.; Dunjko, Vedran
Publié dans: Nature Communications, Numéro 14, 2023, Page(s) 517, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-023-36159-y

Real Quantum Amplitude Estimation

Auteurs: Manzano, Alberto; Musso, Daniele; Leitao, Álvaro
Publié dans: EPJ Quantum Technology, Numéro 10, 2023, Page(s) 2, ISSN 2196-0763
Éditeur: 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

Auteurs: Marko J. Rančić
Publié dans: Physical Review Research, Numéro Vol 5, Numéro 1, 2023
Éditeur: American Physical Society
DOI: 10.1103/physrevresearch.5.l012021

Modelling carbon capture on metal-organic frameworks with quantum computing

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

Smooth input preparation for quantum and quantum-inspired machine learning

Auteurs: Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko & Joseph F. Fitzsimons
Publié dans: Quantum Machine Intelligence, Numéro 3, 2021, ISSN 2524-4914
Éditeur: Springer
DOI: 10.1007/s42484-021-00045-x

Uncertainty in Quantum Rule-Based Systems

Auteurs: Vicente Moret-Bonillo, Isaac Fernández-Varela, Diego Álvarez-Estévez
Publié dans: Archives of Clinical and Biomedical Research, Numéro 05/01, 2021, Page(s) 42-60, ISSN 2572-5017
Éditeur: Fortune Journals
DOI: 10.26502/acbr.50170149

A Modular Framework for Generic Quantum Algorithms

Auteurs: Alberto Manzano; Daniele Musso; Álvaro Leitao; Andrés Gómez; Carlos Vázquez; Gustavo Ordóñez; María R. Nogueiras
Publié dans: Mathematics; Volume 10; Numéro 5; Pages: 785, Numéro 2, 2022, ISSN 2227-7390
Éditeur: 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

Auteurs: Arseny Kovyrshin, Mårten Skogh, Anders Broo, Stefano Mensa, Emre Sahin, Jason Crain, Ivano Tavernelli
Publié dans: The Journal of Chemical Physics, Numéro Volume 158, Numéro 21, 2023, ISSN 0021-9606
Éditeur: American Institute of Physics
DOI: 10.1063/5.0150291

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

Auteurs: Wassil Sennane, Jean-Philip Piquemal, and Marko J. Rančić
Publié dans: APS Physical Review A, Numéro Vol 107, Numéro 1, 2023, ISSN 2469-9926
Éditeur: American Physical Society
DOI: 10.1103/physreva.107.012416

Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm

Auteurs: Charles Moussa, Hao Wang, Thomas Bäck & Vedran Dunjko
Publié dans: EPJ Quantum Technology, Numéro 9, 2022, Page(s) 11, ISSN 2196-0763
Éditeur: Springer Nature
DOI: 10.1140/epjqt/s40507-022-00131-4

Extension of the Trotterized Unitary Coupled Cluster to Triple Excitations

Auteurs: Mohammad Haidar; Marko J. Rančić; Yvon Maday; Jean-Philip Piquemal
Publié dans: The Journal of Physical Chemistry A, Numéro 127, 15, 2023, Page(s) 3543-3550, ISSN 1089-5639
Éditeur: American Chemical Society
DOI: 10.1021/acs.jpca.3c01753

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

Auteurs: Mohammad Haidar, Marko J. Rancic, Thomas Ayral, Yvon Maday, Jean-Philip Piquemal
Publié dans: WIREs Computational Molecular Science, 2023, ISSN 1759-0884
Éditeur: Wiley
DOI: 10.1002/wcms.1664

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

Auteurs: Skolik, Andrea; Jerbi, Sofiene; Dunjko, Vedran
Publié dans: Quantum, Numéro Volume 6, 2022, Page(s) 720
Éditeur: Quantum
DOI: 10.22331/q-2022-05-24-720

Nonadiabatic nuclear-electron dynamics: a quantum computing approach

Auteurs: Arseny Kovyrshin, Mårten Skogh, Lars Tornberg, Anders Broo, Stefano Mensa, Emre Sahin, Benjamin C. B. Symons, Jason Crain, Ivano Tavernelli
Publié dans: The Journal of Physical Chemistry Letters, Numéro 14, 2023, Page(s) 7065–7072, ISSN 1948-7185
Éditeur: American Chemical Society
DOI: 10.1021/acs.jpclett.3c01589

Hybrid divide-and-conquer approach for tree search algorithms

Auteurs: Rennela, Mathys; Brand, Sebastiaan; Laarman, Alfons; Dunjko, Vedran
Publié dans: Numéro 1, 2021
Éditeur: Arxiv
DOI: 10.5281/zenodo.5709974

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

Auteurs: Vicente Moret-Bonillo, Samuel Magaz-Romero and Eduardo Mosqueira-Rey
Publié dans: Mathematics, 2022
Éditeur: MDPI
DOI: 10.3390/math10020189

Quantum Expectation Transformers for Cost Analysis

Auteurs: Martin Avanzini; Georg Moser; Romain Péchoux; Simon Perdrix; Vladimir Zamdzhiev
Publié dans: LICS '22: Proceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science, Numéro 10, 2022, Page(s) 1-13, ISBN 9781450393515
Éditeur: ACM
DOI: 10.1145/3531130.3533332

Quantum Approach for Vertex Separator Problem in Directed Graphs

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

Quantum Arithmetic for Directly Embedded Arrays

Auteurs: Alberto Manzano; Daniele Musso; Álvaro Leitao; Andrés Gómez; Carlos Vázquez; Gustavo Ordóñez; María Rodríguez-Nogueiras
Publié dans: Proceedings of 4th XoveTIC Conference, Numéro 2, 2021
Éditeur: MDPI
DOI: 10.3390/engproc2021007045

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

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

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

Auteurs: Magaz-Romero, S., Mosqueira-Rey, E., Alvarez-Estevez, D., Moret-Bonillo, V.
Publié dans: ICCS 2023. Lecture Notes in Computer Science, Numéro Vol 10477, 2023, Page(s) 64-71, ISBN 978-3-031-36029-9
Éditeur: Springer
DOI: 10.1007/978-3-031-36030-5_6

Addition and Differentiation of ZX-Diagrams

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

Parametrized quantum policies for reinforcement learning

Auteurs: Jerbi, Sofiene; Gyurik, Casper; Marshall, Simon C.; Briegel, Hans J.; Dunjko, Vedran
Publié dans: NeurIPS (Thirty-fifth Conference on Neural Information Processing Systems), Numéro 3, 2021
Éditeur: NIPS

Tabu-Driven Quantum Neighborhood Samplers

Auteurs: Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko
Publié dans: Evolutionary Computation in Combinatorial Optimization - 21st European Conference, EvoCOP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings, Numéro 12692, 2021, Page(s) 100-119, ISBN 978-3-030-72903-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-72904-2_7

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