{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T19:37:43Z","timestamp":1777059463835,"version":"3.51.4"},"reference-count":86,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:00:00Z","timestamp":1774656000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100023048","name":"International Council of Shopping Centers","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100023048","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005184","name":"Istituto nazionale di astrofisica","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005184","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Astronomy and Computing"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.ascom.2026.101108","type":"journal-article","created":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T16:18:07Z","timestamp":1774714687000},"page":"101108","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Quantum computing for astrophysics and cosmology: Results from the INAF activities"],"prefix":"10.1016","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6347-0649","authenticated-orcid":false,"given":"Andrea","family":"Bulgarelli","sequence":"first","affiliation":[]},{"given":"Carlo","family":"Burigana","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Cappelli","sequence":"additional","affiliation":[]},{"given":"Vincenzo Fabrizio","family":"Cardone","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Cavuoti","sequence":"additional","affiliation":[]},{"given":"Farida","family":"Farsian","sequence":"additional","affiliation":[]},{"given":"Irene","family":"Graziotti","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Macaluso","sequence":"additional","affiliation":[]},{"given":"Massimo","family":"Meneghetti","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Murante","sequence":"additional","affiliation":[]},{"given":"Nicol\u00f2","family":"Parmiggiani","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Riccio","sequence":"additional","affiliation":[]},{"given":"Alessandro","family":"Rizzo","sequence":"additional","affiliation":[]},{"given":"Roberto","family":"Scaramella","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Schillir\u00f2","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Sarracino","sequence":"additional","affiliation":[]},{"given":"Vincenzo","family":"Testa","sequence":"additional","affiliation":[]},{"given":"Tiziana","family":"Trombetti","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ascom.2026.101108_b1","series-title":"Roadmap to fault tolerant quantum computation using topological qubit arrays","author":"Aasen","year":"2025"},{"issue":"12","key":"10.1016\/j.ascom.2026.101108_b2","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1038\/s42254-024-00770-9","article-title":"Challenges and opportunities in quantum optimization","volume":"6","author":"Abbas","year":"2024","journal-title":"Nat. Rev. Phys."},{"issue":"6","key":"10.1016\/j.ascom.2026.101108_b3","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1038\/s43588-021-00084-1","article-title":"The power of quantum neural networks","volume":"1","author":"Abbas","year":"2021","journal-title":"Nat. Comput. Sci."},{"key":"10.1016\/j.ascom.2026.101108_b4","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.jheap.2022.04.002","article-title":"Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies","volume":"34","author":"Abdalla","year":"2022","journal-title":"J. High Energy Astrophys."},{"key":"10.1016\/j.ascom.2026.101108_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110296","article-title":"Genetic algorithms as classical optimizer for the quantum approximate optimization algorithm","volume":"142","author":"Acampora","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.ascom.2026.101108_b6","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.ins.2021.06.049","article-title":"Implementing evolutionary optimization on actual quantum processors","volume":"575","author":"Acampora","year":"2021","journal-title":"Inform. Sci."},{"key":"10.1016\/j.ascom.2026.101108_b7","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevD.103.083533","article-title":"Completed SDSS-IV extended baryon oscillation spectroscopic survey: Cosmological implications from two decades of spectroscopic surveys at the apache point observatory","volume":"103","author":"Alam","year":"2021","journal-title":"Phys. Rev. D"},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b8","doi-asserted-by":"crossref","DOI":"10.1103\/RevModPhys.90.015002","article-title":"Adiabatic quantum computation","volume":"90","author":"Albash","year":"2018","journal-title":"Rev. Modern Phys."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b9","doi-asserted-by":"crossref","first-page":"21427","DOI":"10.1038\/s41598-025-07293-y","article-title":"Quantum annealing enhanced Markov-chain Monte Carlo","volume":"15","author":"Arai","year":"2025","journal-title":"Sci. Rep."},{"key":"10.1016\/j.ascom.2026.101108_b10","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1038\/s41586-019-1666-5","article-title":"Quantum supremacy using a programmable superconducting processor","volume":"574","author":"Arute","year":"2019","journal-title":"Nature"},{"issue":"4","key":"10.1016\/j.ascom.2026.101108_b11","doi-asserted-by":"crossref","DOI":"10.1088\/2058-9565\/ab4eb5","article-title":"Parameterized quantum circuits as machine learning models","volume":"4","author":"Benedetti","year":"2019","journal-title":"Quantum Sci. Technol."},{"key":"10.1016\/j.ascom.2026.101108_b12","series-title":"PennyLane: Automatic differentiation of hybrid quantum-classical computations","author":"Bergholm","year":"2022"},{"issue":"5","key":"10.1016\/j.ascom.2026.101108_b13","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1137\/S0097539796300921","article-title":"Quantum complexity theory","volume":"26","author":"Bernstein","year":"1997","journal-title":"SIAM J. Comput."},{"issue":"7671","key":"10.1016\/j.ascom.2026.101108_b14","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1038\/nature23474","article-title":"Quantum machine learning","volume":"549","author":"Biamonte","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.ascom.2026.101108_b15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2024.03.002","article-title":"A review on quantum approximate optimization algorithm and its variants","volume":"1068","author":"Blekos","year":"2024","journal-title":"Phys. Rep."},{"key":"10.1016\/j.ascom.2026.101108_b16","series-title":"Better than classical? The subtle art of benchmarking quantum machine learning models","author":"Bowles","year":"2024"},{"issue":"3","key":"10.1016\/j.ascom.2026.101108_b17","article-title":"Quantum autoencoders with enhanced data encoding","volume":"2","author":"Bravo-Prieto","year":"2021","journal-title":"Mach. Learn.: Sci. Technol."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b18","doi-asserted-by":"crossref","first-page":"110","DOI":"10.3847\/1538-4357\/ac8e04","article-title":"The pantheon+ analysis: Cosmological constraints","volume":"938","author":"Brout","year":"2022","journal-title":"Astrophys. J."},{"issue":"6","key":"10.1016\/j.ascom.2026.101108_b19","doi-asserted-by":"crossref","first-page":"60004","DOI":"10.1209\/0295-5075\/132\/60004","article-title":"New trends in quantum machine learning (a)","volume":"132","author":"Buffoni","year":"2020","journal-title":"Europhys. Lett."},{"key":"10.1016\/j.ascom.2026.101108_b20","series-title":"Software and Cyberinfrastructure for Astronomy VIII (Proc. SPIE)","article-title":"The science alert generation system of the cherenkov telescope array observatory","volume":"vol. 13101","author":"Bulgarelli","year":"2024"},{"key":"10.1016\/j.ascom.2026.101108_b21","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevResearch.6.013282","article-title":"From vlasov-Poisson to Schr\u00f6dinger-Poisson: Dark matter simulation with a quantum variational time evolution algorithm","volume":"6","author":"Cappelli","year":"2024","journal-title":"Phys. Rev. Res."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b22","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-022-32550-3","article-title":"Generalization in quantum machine learning from few training data","volume":"13","author":"Caro","year":"2022","journal-title":"Nat. Commun."},{"issue":"9","key":"10.1016\/j.ascom.2026.101108_b23","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1038\/s42254-021-00348-9","article-title":"Variational quantum algorithms","volume":"3","author":"Cerezo","year":"2021","journal-title":"Nat. Rev. Phys."},{"issue":"9","key":"10.1016\/j.ascom.2026.101108_b24","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1038\/s43588-022-00311-3","article-title":"Challenges and opportunities in quantum machine learning","volume":"2","author":"Cerezo","year":"2022","journal-title":"Nat. Comput. Sci."},{"key":"10.1016\/j.ascom.2026.101108_b25","article-title":"The complexity of NISQ","volume":"14","author":"Chen","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.ascom.2026.101108_b26","article-title":"Science with the cherenkov telescope array","author":"Cherenkov Telescope Array Consortium","year":"2019","journal-title":"World Sci."},{"issue":"12","key":"10.1016\/j.ascom.2026.101108_b27","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1038\/s41567-019-0648-8","article-title":"Quantum convolutional neural networks","volume":"15","author":"Cong","year":"2019","journal-title":"Nat. Phys."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b28","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s42484-023-00106-3","article-title":"Comparing quantum and classical machine learning for vector boson scattering background reduction at the large hadron collider","volume":"5","author":"Cugini","year":"2023","journal-title":"Quantum Mach. Intell."},{"key":"10.1016\/j.ascom.2026.101108_b29","series-title":"Quantum algorithms: A survey of applications and end-to-end complexities","author":"Dalzell","year":"2023"},{"issue":"4","key":"10.1016\/j.ascom.2026.101108_b30","doi-asserted-by":"crossref","DOI":"10.1088\/1367-2630\/abf1b3","article-title":"Constructing quantum circuits with global gates","volume":"23","author":"van de Wetering","year":"2021","journal-title":"New J. Phys."},{"issue":"1818","key":"10.1016\/j.ascom.2026.101108_b31","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1098\/rspa.1985.0070","article-title":"Quantum theory, the church-turing principle and the universal quantum computer","volume":"400","author":"Deutsch","year":"1985","journal-title":"Proc. R. Soc. Lond. Ser. A"},{"issue":"1907","key":"10.1016\/j.ascom.2026.101108_b32","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1098\/rspa.1992.0167","article-title":"Rapid solution of problems by quantum computation","volume":"439","author":"Deutsch","year":"1992","journal-title":"Proc. R. Soc. Lond. Ser. A"},{"key":"10.1016\/j.ascom.2026.101108_b33","series-title":"Efficient combinatorial optimization using quantum annealing","author":"Djidjev","year":"2018"},{"key":"10.1016\/j.ascom.2026.101108_b34","series-title":"A quantum approximate optimization algorithm","author":"Farhi","year":"2014"},{"key":"10.1016\/j.ascom.2026.101108_b35","series-title":"Proceedings of the 33rd Euromicro Conference on Parallel, Distributed and Network-Based Processing","first-page":"372","article-title":"Benchmarking quantum convolutional neural networks for signal classification in simulated Gamma-ray burst detection","author":"Farsian","year":"2025"},{"key":"10.1016\/j.ascom.2026.101108_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.ascom.2026.101095","article-title":"Exploring the potential of quantum graph neural networks in analyzing large-scale structure of universe","volume":"56","author":"Farsian","year":"2026","journal-title":"Astronomy and Computing"},{"key":"10.1016\/j.ascom.2026.101108_b37","series-title":"Proc. IEEE Int. Conf. Quantum Software","first-page":"1","article-title":"The application of quantum Fourier transform in cosmic microwave background data analysis","author":"Farsian","year":"2025"},{"issue":"6\u20137","key":"10.1016\/j.ascom.2026.101108_b38","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/BF02650179","article-title":"Simulating physics with computers","volume":"21","author":"Feynman","year":"1982","journal-title":"Internat. J. Theoret. Phys."},{"issue":"925","key":"10.1016\/j.ascom.2026.101108_b39","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1086\/670067","article-title":"emcee: The MCMC hammer","volume":"125","author":"Foreman-Mackey","year":"2013","journal-title":"Publ. Astron. Soc. Pac."},{"key":"10.1016\/j.ascom.2026.101108_b40","series-title":"Applying quantum autoencoders for time series anomaly detection","author":"Frehner","year":"2024"},{"key":"10.1016\/j.ascom.2026.101108_b41","doi-asserted-by":"crossref","first-page":"4329","DOI":"10.1103\/PhysRevLett.80.4329","article-title":"Quantum computers can search rapidly by using almost any transformation","volume":"80","author":"Grover","year":"1998","journal-title":"Phys. Rev. Lett."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b42","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1093\/rasti\/rzad052","article-title":"A quantum-enhanced support vector machine for galaxy classification","volume":"2","author":"Hassanshahi","year":"2023","journal-title":"RAS Tech. Instrum."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b43","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1093\/biomet\/57.1.97","article-title":"Monte Carlo sampling methods using Markov chains and their applications","volume":"57","author":"Hastings","year":"1970","journal-title":"Biometrika"},{"key":"10.1016\/j.ascom.2026.101108_b44","series-title":"2022 IEEE Symposium Series on Computational Intelligence","first-page":"947","article-title":"Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence","author":"Ibarrondo","year":"2022"},{"key":"10.1016\/j.ascom.2026.101108_b45","article-title":"Quantum genetic algorithm with individuals in multiple registers","author":"Ibarrondo","year":"2023","journal-title":"IEEE Trans. Evol. Comput."},{"key":"10.1016\/j.ascom.2026.101108_b46","series-title":"Quantum computing with qiskit","author":"Javadi-Abhari","year":"2024"},{"key":"10.1016\/j.ascom.2026.101108_b47","doi-asserted-by":"crossref","DOI":"10.1126\/science.ado6285","article-title":"Beyond-classical computation in quantum simulation","author":"King","year":"2025","journal-title":"Science"},{"key":"10.1016\/j.ascom.2026.101108_b48","series-title":"Quantum machine learning for radio astronomy","author":"Kordzanganeh","year":"2021"},{"key":"10.1016\/j.ascom.2026.101108_b49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.physrep.2014.09.008","article-title":"The physics of gamma-ray bursts","volume":"561","author":"Kumar","year":"2015","journal-title":"Phys. Rep."},{"issue":"4","key":"10.1016\/j.ascom.2026.101108_b50","doi-asserted-by":"crossref","DOI":"10.3390\/computers5040024","article-title":"Quantum genetic algorithms for computer scientists","volume":"5","author":"Lahoz-Beltra","year":"2016","journal-title":"Computers"},{"issue":"7969","key":"10.1016\/j.ascom.2026.101108_b51","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1038\/s41586-023-06095-4","article-title":"Quantum-enhanced Markov chain Monte Carlo","volume":"619","author":"Layden","year":"2023","journal-title":"Nature"},{"key":"10.1016\/j.ascom.2026.101108_b52","series-title":"The cosmic linear anisotropy solving system (CLASS) I: Overview","author":"Lesgourgues","year":"2011"},{"issue":"7","key":"10.1016\/j.ascom.2026.101108_b53","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1063\/10.0019690","article-title":"A feasible path for the use of ferromagnetic josephson junctions in quantum circuits: The ferro-transmon","volume":"49","author":"Massarotti","year":"2023","journal-title":"Low Temp. Phys."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b54","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-018-07090-4","article-title":"Barren plateaus in quantum neural network training landscapes","volume":"9","author":"McClean","year":"2018","journal-title":"Nat. Commun."},{"key":"10.1016\/j.ascom.2026.101108_b55","doi-asserted-by":"crossref","first-page":"A1","DOI":"10.1051\/0004-6361\/202450810","article-title":"Euclid. I. Overview of the Euclid mission","volume":"697","author":"Mellier","year":"2025","journal-title":"Astron. Astrophys."},{"key":"10.1016\/j.ascom.2026.101108_b56","doi-asserted-by":"crossref","first-page":"15023","DOI":"10.1038\/npjqi.2015.23","article-title":"Quantum algorithms: An overview","volume":"2","author":"Montanaro","year":"2016","journal-title":"Npj Quantum Inf."},{"issue":"6277","key":"10.1016\/j.ascom.2026.101108_b57","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1126\/science.aad9480","article-title":"Realization of a scalable shor algorithm","volume":"351","author":"Monz","year":"2016","journal-title":"Science"},{"key":"10.1016\/j.ascom.2026.101108_b58","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevD.105.095004","article-title":"Anomaly detection in high-energy physics using a quantum autoencoder","volume":"105","author":"Ngairangbam","year":"2022","journal-title":"Phys. Rev. D"},{"key":"10.1016\/j.ascom.2026.101108_b59","series-title":"Quantum Computation and Quantum Information: 10th Anniversary Edition","author":"Nielsen","year":"2010"},{"key":"10.1016\/j.ascom.2026.101108_b60","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevA.110.052414","article-title":"Bounding the speedup of the quantum-enhanced Markov-chain Monte Carlo algorithm","volume":"110","author":"Orfi","year":"2024","journal-title":"Phys. Rev. A"},{"key":"10.1016\/j.ascom.2026.101108_b61","doi-asserted-by":"crossref","DOI":"10.3847\/1538-4357\/ad64cd","article-title":"A new deep learning model to detect Gamma-ray bursts in the AGILE anticoincidence system","volume":"973","author":"Parmiggiani","year":"2024","journal-title":"Astrophys. J."},{"issue":"1","key":"10.1016\/j.ascom.2026.101108_b62","doi-asserted-by":"crossref","first-page":"67","DOI":"10.3847\/1538-4357\/abfa15","article-title":"A deep learning method for AGILE-GRID Gamma-ray burst detection","volume":"914","author":"Parmiggiani","year":"2021","journal-title":"Astrophys. J."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b63","doi-asserted-by":"crossref","first-page":"106","DOI":"10.3847\/1538-4357\/acba0a","article-title":"A deep-learning anomaly-detection method to identify Gamma-ray bursts in the ratemeters of the AGILE anticoincidence system","volume":"945","author":"Parmiggiani","year":"2023","journal-title":"Astrophys. J."},{"key":"10.1016\/j.ascom.2026.101108_b64","doi-asserted-by":"crossref","first-page":"79","DOI":"10.22331\/q-2018-08-06-79","article-title":"Quantum computing in the NISQ era and beyond","volume":"2","author":"Preskill","year":"2018","journal-title":"Quantum"},{"issue":"2241","key":"10.1016\/j.ascom.2026.101108_b65","doi-asserted-by":"crossref","DOI":"10.1098\/rsta.2021.0417","article-title":"Quantum annealing: an overview","volume":"381","author":"Rajak","year":"2022","journal-title":"Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci."},{"key":"10.1016\/j.ascom.2026.101108_b66","doi-asserted-by":"crossref","DOI":"10.1016\/j.ascom.2026.101090","article-title":"Comparing classical and quantum deep learning techniques for anomaly detection of short-duration gamma-ray signals","volume":"56","author":"Rizzo","year":"2026","journal-title":"Astronomy and Computing"},{"key":"10.1016\/j.ascom.2026.101108_b67","series-title":"Astronomical Data Analysis Software and Systems XXXIII (ADASS XXXIII)","first-page":"222","article-title":"Quantum convolutional neural networks for the detection of Gamma-ray bursts in the AGILE space mission data","volume":"541","author":"Rizzo","year":"2024"},{"issue":"4","key":"10.1016\/j.ascom.2026.101108_b68","doi-asserted-by":"crossref","DOI":"10.1088\/2058-9565\/aa8072","article-title":"Quantum autoencoders for efficient compression of quantum data","volume":"2","author":"Romero","year":"2017","journal-title":"Quantum Sci. Technol."},{"key":"10.1016\/j.ascom.2026.101108_b69","series-title":"Quantum Markov chain Monte Carlo for cosmological functions","author":"Sarracino","year":"2025"},{"key":"10.1016\/j.ascom.2026.101108_b70","doi-asserted-by":"crossref","DOI":"10.1016\/j.ascom.2026.101078","article-title":"A quantum genetic algorithm with application to cosmological parameters estimation","volume":"55","author":"Sarracino","year":"2026","journal-title":"Astronomy and Computing"},{"key":"10.1016\/j.ascom.2026.101108_b71","doi-asserted-by":"crossref","first-page":"A112","DOI":"10.1051\/0004-6361\/202141938","article-title":"Euclid preparation. I. The euclid wide survey","volume":"662","author":"Scaramella","year":"2022","journal-title":"Astron. Astrophys."},{"key":"10.1016\/j.ascom.2026.101108_b72","series-title":"Supervised quantum machine learning models are kernel methods","author":"Schuld","year":"2021"},{"issue":"4","key":"10.1016\/j.ascom.2026.101108_b73","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.122.040504","article-title":"Quantum machine learning in feature Hilbert spaces","volume":"122","author":"Schuld","year":"2019","journal-title":"Phys. Rev. Lett."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b74","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1080\/00107514.2014.964942","article-title":"An introduction to quantum machine learning","volume":"56","author":"Schuld","year":"2014","journal-title":"Contemp. Phys."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b75","doi-asserted-by":"crossref","first-page":"113","DOI":"10.3847\/1538-4357\/ac8b7a","article-title":"The pantheon+ analysis: The full data set and light-curve release","volume":"938","author":"Scolnic","year":"2022","journal-title":"Astrophys. J."},{"issue":"2","key":"10.1016\/j.ascom.2026.101108_b76","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1137\/S0036144598347011","article-title":"Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer","volume":"41","author":"Shor","year":"1999","journal-title":"SIAM Rev."},{"key":"10.1016\/j.ascom.2026.101108_b77","series-title":"Proceedings 35th Annual Symposium on Foundations of Computer Science","first-page":"116","article-title":"On the power of quantum computation","author":"Simon","year":"1994"},{"key":"10.1016\/j.ascom.2026.101108_b78","series-title":"Prospective algorithms for quantum evolutionary computation","author":"Sofge","year":"2008"},{"key":"10.1016\/j.ascom.2026.101108_b79","series-title":"Automatic Quantum Computer Programming","first-page":"XI, 153","author":"Spector","year":"2004"},{"key":"10.1016\/j.ascom.2026.101108_b80","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1051\/0004-6361\/200810527","article-title":"The AGILE mission","volume":"502","author":"Tavani","year":"2010","journal-title":"Astron. Astrophys."},{"key":"10.1016\/j.ascom.2026.101108_b81","series-title":"38th International Cosmic Ray Conference","first-page":"745","article-title":"The compton spectrometer and imager","author":"Tomsick","year":"2024"},{"issue":"3","key":"10.1016\/j.ascom.2026.101108_b82","first-page":"102.01","article-title":"The compton spectrometer and imager (COSI): Mission status and science goals","volume":"54","author":"Tomsick","year":"2022","journal-title":"Bull. Am. Astron. Soc."},{"issue":"05","key":"10.1016\/j.ascom.2026.101108_b83","doi-asserted-by":"crossref","first-page":"057","DOI":"10.1088\/1475-7516\/2021\/05\/057","article-title":"Cobaya: Code for Bayesian analysis of hierarchical physical models","volume":"2021","author":"Torrado","year":"2021","journal-title":"J. Cosmol. Astropart. Phys."},{"key":"10.1016\/j.ascom.2026.101108_b84","doi-asserted-by":"crossref","first-page":"71","DOI":"10.3847\/1538-4357\/abf7ba","article-title":"The CAMELS project: Cosmology and astrophysics with machine learning simulations","volume":"915","author":"Villaescusa-Navarro","year":"2021","journal-title":"Astrophys. J."},{"issue":"6523","key":"10.1016\/j.ascom.2026.101108_b85","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1126\/science.abe8770","article-title":"Quantum computational advantage using photons","volume":"370","author":"Zhong","year":"2020","journal-title":"Science"},{"key":"10.1016\/j.ascom.2026.101108_b86","series-title":"Comparing quantum machine learning approaches in astrophysical signal detection","author":"Ziiatdinov","year":"2025"}],"container-title":["Astronomy and Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213133726000508?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213133726000508?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T18:48:18Z","timestamp":1777056498000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213133726000508"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":86,"alternative-id":["S2213133726000508"],"URL":"https:\/\/doi.org\/10.1016\/j.ascom.2026.101108","relation":{},"ISSN":["2213-1337"],"issn-type":[{"value":"2213-1337","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Quantum computing for astrophysics and cosmology: Results from the INAF activities","name":"articletitle","label":"Article Title"},{"value":"Astronomy and Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ascom.2026.101108","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"101108"}}