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Quantum information processing is the use of inherently quantum mechanical phenomena to perform information processing tasks that cannot be achieved using conventional classical information technologies. One famous example is quantum…

Quantum Physics · Physics 2007-05-23 J. A. Jones

Quantum computing promises potential for science and industry by solving certain computationally complex problems faster than classical computers. Quantum computing systems evolved from monolithic systems towards modular architectures…

Quantum Physics · Physics 2023-08-15 Nishant Saurabh , Shantenu Jha , Andre Luckow

Quantum computing technologies have become a hot topic in academia and industry receiving much attention and financial support from all sides. Building a quantum computer that can be used practically is in itself an outstanding challenge…

Computational Engineering, Finance, and Science · Computer Science 2018-02-16 Matthias Möller , Cornelis Vuik

Rapid advances in quantum computing technology lead to an increasing need for software simulators that enable both algorithm design and the validation of results obtained from quantum hardware. This includes calculations that aim at probing…

Quantum Physics · Physics 2025-01-09 Amit Jamadagni , Andreas M. Läuchli , Cornelius Hempel

Quantum computation offers a promising new kind of information processing, where the non-classical features of quantum mechanics can be harnessed and exploited. A number of models of quantum computation exist, including the now well-studied…

Quantum Physics · Physics 2011-08-03 H. J. Briegel , D. E. Browne , W. Dür , R. Raussendorf , M. Van den Nest

Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all scientific…

Quantum computing resources are among the most promising candidates for extending the computational capabilities of High-Performance Computing (HPC) systems. As a result, HPC-quantum integration has become an increasingly active area of…

We use the benefits and components of classical computers every day. However, there are many types of problems which, as they grow in size, their computational complexity grows larger than classical computers will ever be able to solve.…

Numerical simulation of quantum systems is crucial to further our understanding of natural phenomena. Many systems of key interest and importance, in areas such as superconducting materials and quantum chemistry, are thought to be described…

Quantum Physics · Physics 2010-11-17 Katherine L Brown , William J Munro , Vivien M Kendon

High Performance Computing (HPC), Artificial Intelligence (AI)/Machine Learning (ML), and Quantum Computing (QC) and communications offer immense opportunities for innovation and impact on society. Researchers in these areas depend on…

Computers and Society · Computer Science 2020-12-18 William Gropp , Sujata Banerjee , Ian Foster

Quantum computing is an emerging field with growing implications across science and industry, making early educational exposure increasingly important. This paper examines how quantum computing concepts can be introduced into high-school…

New facilities of the 2020s, such as the High Luminosity Large Hadron Collider (HL-LHC), will be relevant through at least the 2030s. This means that their software efforts and those that are used to analyze their data need to consider…

Accurate models for open quantum systems -- quantum states that have non-trivial interactions with their environment -- may aid in the advancement of a diverse array of fields, including quantum computation, informatics, and the prediction…

The emergence of quantum computing has introduced a revolutionary paradigm capable of transforming numerous scientific and industrial sectors. Nevertheless, realizing the practical utilization of quantum software in real-world applications…

Quantum Physics · Physics 2024-03-29 Vlad Stirbu , Majid Haghparast , Muhammad Waseem , Niraj Dayama , Tommi Mikkonen

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event…

Computational Physics · Physics 2019-05-17 Kim Albertsson , Piero Altoe , Dustin Anderson , John Anderson , Michael Andrews , Juan Pedro Araque Espinosa , Adam Aurisano , Laurent Basara , Adrian Bevan , Wahid Bhimji , Daniele Bonacorsi , Bjorn Burkle , Paolo Calafiura , Mario Campanelli , Louis Capps , Federico Carminati , Stefano Carrazza , Yi-fan Chen , Taylor Childers , Yann Coadou , Elias Coniavitis , Kyle Cranmer , Claire David , Douglas Davis , Andrea De Simone , Javier Duarte , Martin Erdmann , Jonas Eschle , Amir Farbin , Matthew Feickert , Nuno Filipe Castro , Conor Fitzpatrick , Michele Floris , Alessandra Forti , Jordi Garra-Tico , Jochen Gemmler , Maria Girone , Paul Glaysher , Sergei Gleyzer , Vladimir Gligorov , Tobias Golling , Jonas Graw , Lindsey Gray , Dick Greenwood , Thomas Hacker , John Harvey , Benedikt Hegner , Lukas Heinrich , Ulrich Heintz , Ben Hooberman , Johannes Junggeburth , Michael Kagan , Meghan Kane , Konstantin Kanishchev , Przemysław Karpiński , Zahari Kassabov , Gaurav Kaul , Dorian Kcira , Thomas Keck , Alexei Klimentov , Jim Kowalkowski , Luke Kreczko , Alexander Kurepin , Rob Kutschke , Valentin Kuznetsov , Nicolas Köhler , Igor Lakomov , Kevin Lannon , Mario Lassnig , Antonio Limosani , Gilles Louppe , Aashrita Mangu , Pere Mato , Narain Meenakshi , Helge Meinhard , Dario Menasce , Lorenzo Moneta , Seth Moortgat , Mark Neubauer , Harvey Newman , Sydney Otten , Hans Pabst , Michela Paganini , Manfred Paulini , Gabriel Perdue , Uzziel Perez , Attilio Picazio , Jim Pivarski , Harrison Prosper , Fernanda Psihas , Alexander Radovic , Ryan Reece , Aurelius Rinkevicius , Eduardo Rodrigues , Jamal Rorie , David Rousseau , Aaron Sauers , Steven Schramm , Ariel Schwartzman , Horst Severini , Paul Seyfert , Filip Siroky , Konstantin Skazytkin , Mike Sokoloff , Graeme Stewart , Bob Stienen , Ian Stockdale , Giles Strong , Wei Sun , Savannah Thais , Karen Tomko , Eli Upfal , Emanuele Usai , Andrey Ustyuzhanin , Martin Vala , Justin Vasel , Sofia Vallecorsa , Mauro Verzetti , Xavier Vilasís-Cardona , Jean-Roch Vlimant , Ilija Vukotic , Sean-Jiun Wang , Gordon Watts , Michael Williams , Wenjing Wu , Stefan Wunsch , Kun Yang , Omar Zapata

Quantum computing is one of the most enticing computational paradigms with the potential to revolutionize diverse areas of future-generation computational systems. While quantum computing hardware has advanced rapidly, from tiny laboratory…

Among the upgrades in current high energy physics (HEP) experiments and the new facilities coming online, solving software challenges has become integral for the success of the collaborations, The demand for human resources highly-skilled…

Physics Education · Physics 2023-03-01 Michel H. Villanueva , Sudhir Malik , Meirin Oan Evans

Quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. To realize this promise, new capabilities need software solutions that are able to effectively harness…

Quantum Physics · Physics 2025-01-16 Otso Kinanen , Andrés D. Muñoz-Moller , Vlad Stirbu , Tommi Mikkonen

Report of the first workshop to identify approaches and techniques in the domain of quantum sensing that can be utilized by future High Energy Physics applications to further the scientific goals of High Energy Physics.

High Energy Physics - Experiment · Physics 2018-04-02 Zeeshan Ahmed , Yuri Alexeev , Giorgio Apollinari , Asimina Arvanitaki , David Awschalom , Karl K. Berggren , Karl Van Bibber , Przemyslaw Bienias , Geoffrey Bodwin , Malcolm Boshier , Daniel Bowring , Davide Braga , Karen Byrum , Gustavo Cancelo , Gianpaolo Carosi , Tom Cecil , Clarence Chang , Mattia Checchin , Sergei Chekanov , Aaron Chou , Aashish Clerk , Ian Cloet , Michael Crisler , Marcel Demarteau , Ranjan Dharmapalan , Matthew Dietrich , Junjia Ding , Zelimir Djurcic , John Doyle , James Fast , Michael Fazio , Peter Fierlinger , Hal Finkel , Patrick Fox , Gerald Gabrielse , Andrei Gaponenko , Maurice Garcia-Sciveres , Andrew Geraci , Jeffrey Guest , Supratik Guha , Salman Habib , Ron Harnik , Amr Helmy , Yuekun Heng , Jason Henning , Joseph Heremans , Phay Ho , Jason Hogan , Johannes Hubmayr , David Hume , Kent Irwin , Cynthia Jenks , Nick Karonis , Raj Kettimuthu , Derek Kimball , Jonathan King , Eve Kovacs , Richard Kriske , Donna Kubik , Akito Kusaka , Benjamin Lawrie , Konrad Lehnert , Paul Lett , Jonathan Lewis , Pavel Lougovski , Larry Lurio , Xuedan Ma , Edward May , Petra Merkel , Jessica Metcalfe , Antonino Miceli , Misun Min , Sandeep Miryala , John Mitchell , Vesna Mitrovic , Holger Mueller , Sae Woo Nam , Hogan Nguyen , Howard Nicholson , Andrei Nomerotski , Michael Norman , Kevin O'Brien , Roger O'Brient , Umeshkumar Patel , Bjoern Penning , Sergey Perverzev , Nicholas Peters , Raphael Pooser , Chrystian Posada , James Proudfoot , Tenzin Rabga , Tijana Rajh , Sergio Rescia , Alexander Romanenko , Roger Rusack , Monika Schleier-Smith , Keith Schwab , Julie Segal , Ian Shipsey , Erik Shirokoff , Andrew Sonnenschein , Valerie Taylor , Robert Tschirhart , Chris Tully , David Underwood , Vladan Vuletic , Robert Wagner , Gensheng Wang , Harry Weerts , Nathan Woollett , Junqi Xie , Volodymyr Yefremenko , John Zasadzinski , Jinlong Zhang , Xufeng Zhang , Vishnu Zutshi

Quantum computing is a new form of computing that is based on the principles of quantum mechanics. It has the potential to revolutionize many fields, including the humanities and social sciences. The idea behind quantum humanities is to…

Physics and Society · Physics 2023-06-01 Astrid Bötticher , Zeki C. Seskir , Johannes Ruhland
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