Results 101 to 110 of about 5,709 (252)
IEEE AccessPortfolio optimization is a primary component of the decision-making process in finance, aiming to tactfully allocate assets to achieve optimal returns while considering various constraints.
Chansreynich Huot +3 more
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Principal Component Analysis and t-Distributed Stochastic Neighbor Embedding Analysis in the Study of Quantum Approximate Optimization Algorithm Entangled and Non-Entangled Mixing Operators. [PDF]
Entropy (Basel), 2023 Sarmina BG, Sun GH, Dong SH.
europepmc +1 more source
Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production
Advanced Science, EarlyView.ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du +4 more
wiley +1 more source
Physical Review ResearchQuantum computers are increasing in size and quality but are still very noisy. Error mitigation extends the size of the quantum circuits that noisy devices can meaningfully execute. However, state-of-the-art error mitigation methods are hard to implement
Stefan H. Sack, Daniel J. Egger
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An Innovative Algorithm for Attacking Symmetric Ciphers Using D-Wave Quantum Annealing
Tsinghua Science and TechnologyQuantum computing is generally considered non-threatening to symmetric ciphers. Quantum attacks on symmetric ciphers require a thorough analysis of their internal structures, posing considerable difficulties and challenges.
Zhi Pei +3 more
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SP-A binding to the SARS-CoV-2 spike protein using hybrid quantum and classical in silico modeling and molecular pruning by Quantum Approximate Optimization Algorithm (QAOA) Based MaxCut with ZDOCK. [PDF]
Front Immunol, 2022 Aramyan S +3 more
europepmc +1 more source
Advanced Science, EarlyView.This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Quantum Supremacy through the Quantum Approximate Optimization Algorithm
, 2016 23 pages. v2 fixes bug in section 4.
Farhi, Edward, Harrow, Aram W
openaire +2 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Frontiers in Quantum Science and TechnologyThe quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it was
Pablo Díez-Valle +2 more
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