[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117828-en":3,"doc-seo-117828-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117828,962075006959,"Anda","https://ap-avatar.wpscdn.com/avatar/e0002397efbe92a78e?_k=1776741047341049297",8,"Research & Report","Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning - Perspective Review","Perspective review exploring the link between low-energy nuclear physics and the emerging research fields of quantum computing, including quantum simulations and quantum machine learning (QML). It compares two areas that have distinct problems and applications, arguing for productive collaboration and highlighting the largely untapped role of QML in low-energy nuclear physics. The review outlines nuclear physics fundamentals, surveys quantum simulations and QML, and discusses current connections through representative examples before concluding with future research directions.","1 Introduction  \nIn this perspective review, we discuss the link between low-energy nuclear physics and the emerging research 􀀌eld of quantum computing [1], which includes quantum simulations and quantum machine learning (QML) techniques. While both research 􀀌elds have their own distinct problems and applications, they can be combined in a fruitful collaboration to yield new and relevant advancements. Although quantum simulations in nuclear physics have made progress in recent years, they have mainly focused on toy models or simple scenarios. However, the utilization of QML techniques in low energy nuclear physics is virtually non-existent. The objective of this perspective is to demonstrate the value of studying the combined 􀀌elds of nuclear physics and quantum computing by providing a few examples and highlighting, to researchers in both domains, that this area of research holds great potential. As a matter of fact, in several long term plans and white papers these new research avenues have already been considered and promoted, namely, [2] and [3](US Department of Energy), the white paper [4], [5](US Department of Energy, National Science Foundation and National Institute of Standards and Technology) or the NuPECC Long Range Plan 2024 (still under discussion) .  \nThe structure of this work is as follows: Section 2 revises the fundamentals of nuclear physics and presents its potential connections with quantum computing and QML. Next, in Section 3, we provide a brief overview of quantum simulations and QML. Section 4 explores the current connections between quantum simulations, QML, and nuclear physics, illustrating this through a few examples such as: i) determining the shape/phase of a nucleus using the time evolution of an appropriated observable, ii) calculating the ground state energy of nuclei, and iii) identifying particles and reconstructing particle trajectories. Finally, in Section 5, we present our conclusions and provide an outlook for future research.  \n2 The Nuclear Physics Realm  \nIn this section, we present in an abridged way, 􀀌rst, the most widely used nuclear physics models intended for low energy nuclear physics, second, the main lines of research of nuclear physics in quantum computing and, third, the most up to date applications of machine learning (ML) to treat nuclear physics problems.  \n2.1 Nuclear Models  \nThe study of the atomic nucleus is di􀀎cult since it is a quantum many-body system where two types of nucleons, protons and neutrons, interact via a force that is not completely known. In addition, the number of particles is not so large as to be appropriated the use of the powerful statistical mechanic machinery [6], therefore, it is necessary to consider a large number of degrees of freedom explicitly. Because of that, to understand the nuclear structure, one has to rely on nuclear models which can only describe partially the nuclear degrees of freedom. The situation is radically di􀀋erent from the studies in quantum chemistry, where the interaction is of Coulomb nature, therefore, fully known, although still a large number of particles should be considered. In the atomic nucleus a natural center for the potential does not exists, as it is the case of the atom, and the 􀀌eld that nucleons feel is created by the own nucleons. Hence, it is not obvious whether a mean 􀀌eld could be de􀀌ned [6] . The theoretical description of the nuclear structure at low energy is based on three main approaches: i) the microscopic approach whose basic realization is the shell model [6, 7, 8], ii) the mean-􀀌eld approach [8, 9, 10, 11], and iii) the macroscopic approach based on the liquid drop model [8, 12, 13] .  \n• The nuclear shell model. It describes the behavior of nucleons (protons and neutrons) in an atomic nucleus. It is based on the independent particle motion motion of nucleons, being possible to de-  \n􀀌ne single particle orbits and, therefore, single particle levels, that occupy the nucleons within the nucleus, i","cbCaihzXkL2RkQvJ","https://ap.wps.com/l/cbCaihzXkL2RkQvJ","pdf",1767225,1,21,"English","en",105,"# Introduction\n# The Nuclear Physics Realm\n## Nuclear Models\n## Nuclear Shell Model\n## Mean-Field and Beyond Mean-Field Approaches\n## Collective Model\n# Quantum Simulations and Quantum Machine Learning Overview\n# Connections Between Quantum Simulations, QML, and Nuclear Physics\n# Conclusions and Outlook","[{\"question\":\"Why is studying low-energy nuclear physics difficult from a modeling perspective?\",\"answer\":\"The nucleus is a quantum many-body system with complex nucleon interactions and many degrees of freedom that typically require explicit treatment beyond simplified statistical-mechanics tools.\"},{\"question\":\"What are the three main low-energy nuclear physics approaches discussed?\",\"answer\":\"The review describes the microscopic shell-model approach, mean-field (and beyond-mean-field) approaches including energy-functional methods, and the macroscopic collective model based on the liquid-drop picture.\"},{\"question\":\"What role does QML play in low-energy nuclear physics according to the review?\",\"answer\":\"QML techniques are described as virtually non-existent in low-energy nuclear physics, and the review’s aim is to motivate research by showing potential value through concrete examples.\"}]","Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning - Perspective Review | PDF",1785679858,53,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"nuclear-physics-in-the-era-of-quantum-computing-and-quantum-machine-learning-perspective-review","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/nuclear-physics-in-the-era-of-quantum-computing-and-quantum-machine-learning-perspective-review/117828/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is studying low-energy nuclear physics difficult from a modeling perspective?","Question",{"text":75,"@type":76},"The nucleus is a quantum many-body system with complex nucleon interactions and many degrees of freedom that typically require explicit treatment beyond simplified statistical-mechanics tools.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What are the three main low-energy nuclear physics approaches discussed?",{"text":80,"@type":76},"The review describes the microscopic shell-model approach, mean-field (and beyond-mean-field) approaches including energy-functional methods, and the macroscopic collective model based on the liquid-drop picture.",{"name":82,"@type":73,"acceptedAnswer":83},"What role does QML play in low-energy nuclear physics according to the review?",{"text":84,"@type":76},"QML techniques are described as virtually non-existent in low-energy nuclear physics, and the review’s aim is to motivate research by showing potential value through concrete examples.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]