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Recurrent quantum embedding neural network and its application in vulnerability detection

Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports (2024)

Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-63021-y

Quantum description of Fermi arcs in Weyl semimetals in a magnetic field

Tim Bauer, Francesco Buccheri, Alessandro De Martino, Reinhold Egger • Physical Review Research (2024)

For a Weyl semimetal (WSM) in a magnetic field, a semiclassical description of the Fermi-arc surface state dynamics is usually employed for explaining various unconventional magnetotransport phenomena, e.g., Weyl orbits, the three-dimension...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.6.043201

Quantum computational study of chloride attack on chloromethane for chemical accuracy and quantum noise effects with UCCSD and k-UpCCGSD ansatzes

Hocheol Lim, Hyeon-Nae Jeon, June-Koo Rhee, Byungdu Oh et al. • Scientific Reports (2022)

Abstract Quantum computing is expected to play an important role in solving the problem of huge computational costs in various applications by utilizing the collective properties of quantum states, including superposition, interference, and...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-11537-6

Non-supersymmetric AdS from string theory

Zihni Kaan Baykara, Daniel Robbins, Savdeep Sethi • SciPost Physics (2023)

We construct non-supersymmetric $AdS_3$ solutions of the $\mathrm O(16)× \mathrm O(16)$ heterotic string. Most of the backgrounds have a classical worldsheet definition but are quantum string vacua in the sense that string loop corrections ...

DOAJ Open Access (DOAJ) DOI: 10.21468/SciPostPhys.15.6.224

Artificial intelligence for quantum computing

Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf et al. • Nature Communications (2025)

Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, in...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41467-025-65836-3 PMC: 12673084

Approaching quantum computing

Dan Cristian Marinescu, Gabriela M. Marinescu (2005)

1 Preface 2 Introduction 2.1 Computing and the Laws of Physics 2.2 Quantum Information 2.3 Quantum Computers 2.4 The Wave and the Corpuscular Nature of Light 2.5 Deterministic versus Probabilistic Photon Behavior 2.6 State Description, Supe...

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Qudits and High-Dimensional Quantum Computing

Yuchen Wang, Zixuan Hu, Barry C. Sanders, Sabre Kais • Frontiers in Physics (2020)

Qudit is a multi-level computational unit alternative to the conventional 2-level qubit. Compared to qubit, qudit provides a larger state space to store and process information, and thus can provide reduction of the circuit complexity, simp...

OPENALEX cc-by DOI: https://doi.org/10.3389/fphy.2020.589504

Industry quantum computing applications

Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology (2021)

Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...

OPENALEX cc-by DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x

The Breakdown of Coordinated Decision Making in Distributed Systems

Christopher R. Bearman, Susannah B. F. Paletz, Judith M. Orasanu, Matthew J. W. Thomas • Human Factors The Journal of the Human Factors and Ergonomics Society (2010)

OBJECTIVE: This article aims to explore the nature and resolution of breakdowns in coordinated decision making in distributed safety-critical systems. BACKGROUND: In safety-critical domains, people with different roles and responsibilities ...

OPENALEX Open Access DOI: https://doi.org/10.1177/0018720810372104

Local and temporal predicates in distributed systems

Bernadette Charron-Bost, Carole Delporte-Gallet, Hugues Fauconnier • ACM Transactions on Programming Languages and Systems (1995)

The definitions of the predicates Possibly φ and Definitely φ, where φ is a global predicate of a distributed computation, lead to the definitions of two predicate transformers P and D . We show that P plays the same role with respect to ti...

OPENALEX Open Access DOI: https://doi.org/10.1145/200994.201005

Optimal Control of Spatially Distributed Systems

Nader Motee, Ali Jadbabaie • IEEE Transactions on Automatic Control (2008)

In this paper, we study the structural properties of optimal control of spatially distributed systems. Such systems consist of an infinite collection of possibly heterogeneous linear control systems that are spatially interconnected via cer...

OPENALEX DOI: https://doi.org/10.1109/tac.2008.929366

Dynamics and Control of Distributed Systems

• Cambridge University Press eBooks (1998)

Distributed parameter systems encompass a broad range of engineering applications from stereo speakers to space structures. The dynamic behaviour of these systems is usually governed by one or more partial differential equations, which may ...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511530180

About logical clocks for distributed systems

Michel Raynal • ACM SIGOPS Operating Systems Review (1992)

Memory space and processor time are basic resources when executing a program. But beside this implementation aspect (this time resource is necessary but does not belong to the program semantics), the concept of time presents a more fundamen...

OPENALEX Open Access DOI: https://doi.org/10.1145/130704.130708

On the controllability of distributed systems

J. L. Lions • Proceedings of the National Academy of Sciences (1997)

To "control" a system is to make it behave (hopefully) according to our "wishes," in a way compatible with safety and ethics, at the least possible cost. The systems considered here are distributed-i.e., governed (modeled) by partial differ...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.94.10.4828 PMC: 24591

Distributed Systems

John A. Hamilton, David A. Nash, Udo W. Pooch • CRC Press eBooks (2020)

Multiple processor systems may be divided into two general categories: parallel processors (multiprocessors) and distributed systems (multicomputers). The distributed simulations, that is, simulations implemented over distributed systems. P...

OPENALEX DOI: https://doi.org/10.1201/9781003067849-5