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Evidence for the utility of quantum computing before fault tolerance

Young‐Seok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei et al. • Nature (2023)

Abstract Quantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizing its full potential is noise that is inherent to these systems. The widely ...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41586-023-06096-3 PMC: 10266970

Potential of quantum computing for drug discovery

Yudong Cao, Jonathan Romero, Alán Aspuru‐Guzik • IBM Journal of Research and Development (2018)

Quantum computing has rapidly advanced in recent years due to substantial development in both hardware and algorithms. These advances are carrying quantum computers closer to their impending commercial utility. Drug discovery is a promising...

OPENALEX DOI: https://doi.org/10.1147/jrd.2018.2888987

Quantum Computing in Medicine

James C. L. Chow • Medical Sciences (2024)

Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the curren...

OPENALEX cc-by DOI: https://doi.org/10.3390/medsci12040067 PMC: 11586987

Quantum Computing in the NISQ era and beyond

John P. Preskill • Quantum (2018)

Noisy Intermediate-Scale Quantum (NISQ) technology will be available in the near future. Quantum computers with 50-100 qubits may be able to perform tasks which surpass the capabilities of today's classical digital computers, but noise in q...

OPENALEX cc-by DOI: https://doi.org/10.22331/q-2018-08-06-79

Open source software in quantum computing

Mark Fingerhuth, Tomáš Babej, Péter Wittek • PLoS ONE (2018)

Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded ope...

OPENALEX cc-by DOI: https://doi.org/10.1371/journal.pone.0208561 PMC: 6301779

A Survey of Quantum Computing for Finance

Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda et al. • RePEc: Research Papers in Economics (2022)

Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the fi...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2201.02773

The evolution of distributed systems towards microservices architecture

Tasneem Salah, Mohamed Jamal Zemerly, Chan Yeob Yeun, Mahmoud Al‐Qutayri et al. • International Conference for Internet Technology and Secured Transactions (2016)

Applications developed to fulfil distributed systems needs have been growing rapidly. Major evolutions have happened beginning with basic architecture relying on initiated request by a client to a processing side referred to as the server. ...

OPENALEX DOI: https://doi.org/10.1109/icitst.2016.7856721

Quantum Computing for Cybersecurity

Mohammad Alauthman, Ammar Almomani, Ahmad Al–Qerem, Mohammad Ali Al Khaldy et al. • Advances in information security, privacy, and ethics book series (2024)

This chapter explores the impact of quantum computing on cybersecurity, comparing classical and quantum techniques. It provides an overview of the current quantum landscape, focusing on the threats posed by quantum algorithms to traditional...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-5330-1.ch004

Quantum Entanglement in Neural Network States

Dong-Ling Deng, Xiaopeng Li, S. Das Sarma • Physical Review X (2017)

Machine learning has recently gained attention as a possible way to understand phase transitions in many-body quantum systems. A new entanglement analysis reveals crucial properties of the data structures that encode quantum states in a neu...

OPENALEX cc-by DOI: https://doi.org/10.1103/physrevx.7.021021

Quantum neural network

M. V. Altaĭsky • arXiv (Cornell University) (2001)

It is suggested that a quantum neural network (QNN), a type of artificial neural network, can be built using the principles of quantum information processing. The input and output qubits in the QNN can be implemented by optical modes with d...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.quant-ph/0107012

PG-MACO Optimization Method for Ship Pipeline Layout

LIN Yan, JIN Tingyu, YANG Yuchao • Shanghai Jiaotong Daxue xuebao (2024)

Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...

DOAJ Open Access (DOAJ) DOI: 10.16183/j.cnki.jsjtu.2022.508

The Mode of Constructing Safe Trajectories of Motion of the Unmanned Aerial Vehicle while Monitoring Power Lines Considering the Influence of their Electromagnetic Fields

Shabanova A.R., Tolstoy I.M., Lebedev I.V. • Problems of the Regional Energetics (2019)

The aim of this paper is to increase the flight safety of an unmanned aerial vehicle that monitors power lines under the negative influence of electromagnetic fields on the on-board equipment. This problem was solved with algorithms for pho...

DOAJ Open Access (DOAJ) DOI: 10.5281/zenodo.3562201

Wind–Wave Coupling Effect on the Dynamic Response of a Combined Wind–Wave Energy Converter

Jinghui Li, Wei Shi, Lixian Zhang, Constantine Michailides et al. • Journal of Marine Science and Engineering (2021)

There is a huge energy demand from offshore renewable energy resources. To maximize the use of various renewable energy sources, a combined floating energy system consisting of different types of energy devices is an ideal option to reduce ...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse9101101

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning

Patrick Selig, Niall Murphy, David Redmond, Simon Caton • IEEE Access (2025)

Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3564392

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology (2024)

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ad9705