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Quantum resources of quantum and classical variational methods

Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova • Machine Learning: Science and Technology (2025)

Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/adaca2

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

Dissipation and irreversibility in computing

David K Ferry, Wolfgang Porod • Materials Research Express (2023)

There has been much discussion for decades over the proper concepts of minimum dissipation per logic gate and what is required for computation, as well as early arguments over logically reversible machines. Here these arguments, and the the...

DOAJ Open Access (DOAJ) DOI: 10.1088/2053-1591/acebba

Quantum computing with molecular spin systems

J. Lehmann, Alejandro Gaita‐Ariño, Eugenio Coronado, Daniel Loss • Journal of Materials Chemistry (2008)

Molecular spintronics promises to combine the flexibility offered by synthetic chemistry with the advantages of an electronics which is based on the electron spin rather than its charge degree of freedom. Here, we review recent work on the ...

OPENALEX DOI: https://doi.org/10.1039/b810634g

Quantum computing with antiferromagnetic spin clusters

Florian Meier, Jeremy Levy, Daniel Loss • Physical review. B, Condensed matter (2003)

We show that a wide range of spin clusters with antiferromagnetic intracluster exchange interaction allows one to define a qubit. For these spin cluster qubits, initialization, quantum gate operation, and readout are possible using the same...

OPENALEX Open Access DOI: https://doi.org/10.1103/physrevb.68.134417

Molecular Quantum Dynamics: A Quantum Computing Perspective

Pauline J. Ollitrault, Alexander Miessen, Ivano Tavernelli • Accounts of Chemical Research (2021)

ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1021/acs.accounts.1c00514

Quantum Computing

Kuldeep Singh Kaswan, Jagjit Singh Dhatterwal, Anupam Baliyan, Shalli Rani • Wiley eBooks (2023)

QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Wher...

OPENALEX DOI: https://doi.org/10.1002/9781394157846

Quantum computing with neutral atoms

Mark E. Saffman • National Science Review (2018)

The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwy088 PMC: 8291449

Quantum Internet: Networking Challenges in Distributed Quantum Computing

Angela Sara Cacciapuoti, Marcello Caleffi, Francesco Tafuri, F. S. Cataliotti et al. • IEEE Network (2019)

The Quantum Internet, a network interconnecting remote quantum devices through quantum links in synergy with classical ones, is envisioned as the final stage of the quantum revolution, opening fundamentally new communications and computing ...

OPENALEX Open Access DOI: https://doi.org/10.1109/mnet.001.1900092

Quantum Computing: Lecture Notes

Ronald de Wolf • arXiv (Cornell University) (2019)

This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in subse...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1907.09415

Demonstration of quantum volume 64 on a superconducting quantum computing system

Petar Jurcevic • Zenodo (CERN European Organization for Nuclear Research) (2022)

Abstract We improve the quality of quantum circuits on superconducting quantum computing systems, as measured by the quantum volume (QV), with a combination of dynamical decoupling, compiler optimizations, shorter two-qubit gates, and excit...

OPENALEX cc-by DOI: https://doi.org/10.1088/2058-9565/abe519

Modeling quantum computing in Haskell

Amr Sabry • International Symposium on Haskell (2003)

The paper develops a model of quantum computing from the perspective of functional programming. The model explains the fundamental ideas of quantum computing at a level of abstraction that is familiar to functional programmers. The model al...

OPENALEX DOI: https://doi.org/10.1145/871895.871900

Quantum computing

Siddhartha Kasivajhula • ACM Southeast Regional Conference (ACMSE) (2006)

Computers today become faster by becoming smaller. By reducing the size of transistors, engineers are able to fit more of them on a given size microprocessor, thus increasing the processor's computational power. This process cannot continue...

OPENALEX DOI: https://doi.org/10.1145/1185448.1185504

Mathematics of topological quantum computing

Eric C. Rowell, Zhenghan Wang • Bulletin of the American Mathematical Society (2018)

In topological quantum computing, information is encoded in “knotted” quantum states of topological phases of matter, thus being locked into topology to prevent decay. Topological precision has been confirmed in quantum Hall liquids by expe...

OPENALEX Open Access DOI: https://doi.org/10.1090/bull/1605

Quantum Computing in Machine Learning - The Future of Quantum Computing

R Vinutha, V Haripriya • International Journal of Advanced Research in Science Communication and Technology (2024)

In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The propose...

OPENALEX Open Access DOI: https://doi.org/10.48175/ijarsct-15955

Quantum computing for market research

Laura Sáez‐Ortuño, Rubén Huertas-García, Santiago Forgas‐Coll, Javier Sánchez et al. • Journal of Innovation & Knowledge (2024)

The digital ecosystem continues to expand around the world and is revolutionising the way markets are researched. Indeed, consumer experiences are advertised and disseminated through so many channels and media that it has become a major cha...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jik.2024.100510

Cloud Quantum Computing of an Atomic Nucleus

Eugene Dumitrescu, Alex McCaskey, G. Hagen, G. R. Jansen et al. • Physical Review Letters (2018)

We report a quantum simulation of the deuteron binding energy on quantum processors accessed via cloud servers. We use a Hamiltonian from pionless effective field theory at leading order. We design a low-depth version of the unitary coupled...

OPENALEX Open Access DOI: https://doi.org/10.1103/physrevlett.120.210501

Strong coupling between a single-photon and a two-photon Fock state

Shuai-Peng Wang, Alberto Mercurio, Alessandro Ridolfo, Yuqing Wang et al. • Nature Communications (2025)

Abstract The realization of strong nonlinear coupling between single photons has been a long-standing goal in quantum optics and quantum information science, promising wide impact applications, such as all-optical deterministic quantum logi...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-63783-7