Reset
Showing 20 of 375 academic articles

Energy, Exergy, Exergoeconomic and Exergoenvironmental Impact Analyses and Optimization of Various Geothermal Power Cycle Configurations

Moein Shamoushaki, Mehdi Aliehyaei, Marc A. Rosen • Entropy (2021)

Energy, exergy, and exergoeconomic evaluations of various geothermal configurations are reported. The main operational and economic parameters of the cycles are evaluated and compared. Multi-objective optimization of the cycles is conducted...

DOAJ Open Access (DOAJ) DOI: 10.3390/e23111483

Discrimination of Non-Local Correlations

Alberto Montina, Stefan Wolf • Entropy (2019)

In view of the importance of quantum non-locality in cryptography, quantum computation, and communication complexity, it is crucial to decide whether a given correlation exhibits non-locality or not. As proved by Pitowski, this problem is N...

DOAJ Open Access (DOAJ) DOI: 10.3390/e21020104

A Pythagorean Fuzzy Cognitive Mapping Approach for Iran’s Electricity Sustainability as a Case Study for Developing Economies

Pishdar Mahsa • EPJ Web of Conferences (2026)

Transition to renewable electricity faces diverse challenges, the systemic interdependencies of which are still underexplored. This study applies a Pythagorean Fuzzy Cognitive Map (PFCM) to analyze and prioritize challenges of transitioning...

DOAJ Open Access (DOAJ) DOI: 10.1051/epjconf/202635101013

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

Expressibility and trainability of parametrized analog quantum systems for machine learning applications

Jirawat Tangpanitanon, Supanut Thanasilp, Ninnat Dangniam, Marc-Antoine Lemonde et al. • Physical Review Research (2020)

Parametrized quantum evolution is the main ingredient in variational quantum algorithms for near-term quantum devices. In digital quantum computing, it has been shown that random parametrized quantum circuits are able to express complex dis...

DOAJ Open Access (DOAJ) DOI: 10.1103/PhysRevResearch.2.043364

Cyclic order superpositions enable quantum information transmission through completely depolarizing channels

Yaxin Wang, Linxiang Zhou, Tianfeng Feng, Hanlin Nie et al. • Communications Physics (2026)

Abstract Noise fundamentally limits quantum communication capacity, completely preventing information transmission in fully depolarizing environments. While indefinite causal order theoretically circumvents this limitation, experimentally r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s42005-026-02698-1

Cosmic muon flux attenuation methods for superconducting qubit experiments

Elia Bertoldo, Victor Pérez Sánchez, Maria Martínez, Manel Martínez et al. • New Journal of Physics (2025)

We propose and demonstrate two practical mitigation methods to attenuate the cosmic muon flux, compatible with experiments involving superconducting qubits: shallow underground sites and device orientation. Using a specifically-built cosmic...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/adaedc

Blind spots of randomized benchmarking under temporal correlations

Varun Srivastava, Abhinash Kumar Roy, Soumik Mahanti, Jasleen Kaur et al. • Physical Review Research (2026)

Randomized benchmarking (RB) is a widely adopted protocol for estimating the average gate fidelity in quantum hardware. However, its standard formulation relies on the assumption of temporally uncorrelated noise, an assumption often violate...

DOAJ Open Access (DOAJ) DOI: 10.1103/r1z5-ycqc

Exploiting subspace constraints and ab initio variational methods for quantum chemistry

Cica Gustiani, Richard Meister, Simon C Benjamin • New Journal of Physics (2023)

Variational methods offer a highly promising route to exploiting quantum computers for chemistry tasks. Here we employ methods described in a sister paper to the present report, entitled exploring ab initio machine synthesis of quantum circ...

DOAJ Open Access (DOAJ) DOI: 10.1088/1367-2630/ace182

Dynamics of superconducting qubit relaxation times

M. Carroll, S. Rosenblatt, P. Jurcevic, I. Lauer et al. • npj Quantum Information (2022)

Abstract Superconducting qubits are a leading candidate for quantum computing but display temporal fluctuations in their energy relaxation times T 1. This introduces instabilities in multi-qubit device performance. Furthermore, autocorrelat...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41534-022-00643-y