FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281287768> ?p ?o ?g. }

• W4281287768 abstract "Abstract Variational quantum algorithms (VQAs) are expected to be a path to quantum advantages on noisy intermediate-scale quantum devices. However, both empirical and theoretical results exhibit that the deployed ansatz heavily affects the performance of VQAs such that an ansatz with a larger number of quantum gates enables a stronger expressivity, while the accumulated noise may render a poor trainability. To maximally improve the robustness and trainability of VQAs, here we devise a resource and runtime efficient scheme termed quantum architecture search (QAS). In particular, given a learning task, QAS automatically seeks a near-optimal ansatz (i.e., circuit architecture) to balance benefits and side-effects brought by adding more noisy quantum gates to achieve a good performance. We implement QAS on both the numerical simulator and real quantum hardware, via the IBM cloud, to accomplish data classification and quantum chemistry tasks. In the problems studied, numerical and experimental results show that QAS cannot only alleviate the influence of quantum noise and barren plateaus but also outperforms VQAs with pre-selected ansatze." @default.
• W4281287768 created "2022-05-24" @default.
• W4281287768 creator A5011431550 @default.
• W4281287768 creator A5074103823 @default.
• W4281287768 creator A5082630089 @default.
• W4281287768 creator A5083588442 @default.
• W4281287768 creator A5083737500 @default.
• W4281287768 date "2022-05-23" @default.
• W4281287768 modified "2023-10-09" @default.
• W4281287768 title "Quantum circuit architecture search for variational quantum algorithms" @default.
• W4281287768 cites W2161685427 @default.
• W4281287768 cites W2297918601 @default.
• W4281287768 cites W2562526363 @default.
• W4281287768 cites W2755255888 @default.
• W4281287768 cites W2781738013 @default.
• W4281287768 cites W2792946961 @default.
• W4281287768 cites W2794444783 @default.
• W4281287768 cites W2798434869 @default.
• W4281287768 cites W2889126882 @default.
• W4281287768 cites W2896712926 @default.
• W4281287768 cites W2897217696 @default.
• W4281287768 cites W2923481626 @default.
• W4281287768 cites W2952190092 @default.
• W4281287768 cites W2963821229 @default.
• W4281287768 cites W2972032089 @default.
• W4281287768 cites W2974416503 @default.
• W4281287768 cites W3004252283 @default.
• W4281287768 cites W3004965358 @default.
• W4281287768 cites W3035189477 @default.
• W4281287768 cites W3099283286 @default.
• W4281287768 cites W3101122608 @default.
• W4281287768 cites W3104022488 @default.
• W4281287768 cites W3104428150 @default.
• W4281287768 cites W3118800713 @default.
• W4281287768 cites W3119774682 @default.
• W4281287768 cites W3121383614 @default.
• W4281287768 cites W3124104284 @default.
• W4281287768 cites W3136233239 @default.
• W4281287768 cites W3147993824 @default.
• W4281287768 cites W3148001159 @default.
• W4281287768 cites W3183968998 @default.
• W4281287768 cites W3189250281 @default.
• W4281287768 cites W3196492698 @default.
• W4281287768 cites W3199543116 @default.
• W4281287768 cites W3207073666 @default.
• W4281287768 cites W3209107739 @default.
• W4281287768 cites W3211386740 @default.
• W4281287768 cites W3211718387 @default.
• W4281287768 cites W3213744715 @default.
• W4281287768 cites W3214850722 @default.
• W4281287768 cites W4213212652 @default.
• W4281287768 cites W4214552167 @default.
• W4281287768 cites W4226258657 @default.
• W4281287768 cites W4312454156 @default.
• W4281287768 doi "https://doi.org/10.1038/s41534-022-00570-y" @default.
• W4281287768 hasPublicationYear "2022" @default.
• W4281287768 type Work @default.
• W4281287768 citedByCount "14" @default.
• W4281287768 countsByYear W42812877682022 @default.
• W4281287768 countsByYear W42812877682023 @default.
• W4281287768 crossrefType "journal-article" @default.
• W4281287768 hasAuthorship W4281287768A5011431550 @default.
• W4281287768 hasAuthorship W4281287768A5074103823 @default.
• W4281287768 hasAuthorship W4281287768A5082630089 @default.
• W4281287768 hasAuthorship W4281287768A5083588442 @default.
• W4281287768 hasAuthorship W4281287768A5083737500 @default.
• W4281287768 hasBestOaLocation W42812877681 @default.
• W4281287768 hasConcept C104317684 @default.
• W4281287768 hasConcept C113775141 @default.
• W4281287768 hasConcept C11413529 @default.
• W4281287768 hasConcept C115961682 @default.
• W4281287768 hasConcept C121332964 @default.
• W4281287768 hasConcept C124148022 @default.
• W4281287768 hasConcept C130979935 @default.
• W4281287768 hasConcept C137019171 @default.
• W4281287768 hasConcept C154945302 @default.
• W4281287768 hasConcept C185592680 @default.
• W4281287768 hasConcept C41008148 @default.
• W4281287768 hasConcept C51003876 @default.
• W4281287768 hasConcept C55493867 @default.
• W4281287768 hasConcept C58053490 @default.
• W4281287768 hasConcept C62520636 @default.
• W4281287768 hasConcept C62641251 @default.
• W4281287768 hasConcept C63479239 @default.
• W4281287768 hasConcept C80444323 @default.
• W4281287768 hasConcept C84114770 @default.
• W4281287768 hasConcept C99498987 @default.
• W4281287768 hasConceptScore W4281287768C104317684 @default.
• W4281287768 hasConceptScore W4281287768C113775141 @default.
• W4281287768 hasConceptScore W4281287768C11413529 @default.
• W4281287768 hasConceptScore W4281287768C115961682 @default.
• W4281287768 hasConceptScore W4281287768C121332964 @default.
• W4281287768 hasConceptScore W4281287768C124148022 @default.
• W4281287768 hasConceptScore W4281287768C130979935 @default.
• W4281287768 hasConceptScore W4281287768C137019171 @default.
• W4281287768 hasConceptScore W4281287768C154945302 @default.
• W4281287768 hasConceptScore W4281287768C185592680 @default.
• W4281287768 hasConceptScore W4281287768C41008148 @default.
• W4281287768 hasConceptScore W4281287768C51003876 @default.
• W4281287768 hasConceptScore W4281287768C55493867 @default.

• next