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The integration of quantum computing and machine learning has ushered in a transformative era in data analysis, characterized by the development of Quantum Machine Learning (QML). This chapter explores the pivotal role of standardization in evaluation practice…
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The aim of this chapter is to introduce the reader to various aspects of quantum entanglement. A detailed summary of the jargon of important mathematical notions, and concepts used in entanglement theory is provided. Various methods of entanglement generation …
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Search is one of the most commonly used primitives in quantum algorithm design. It is known that quadratic speedups provided by Grover’s algorithm are optimal, and no faster quantum algorithms for Search exist. While it is known that at least some quantum comp…
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We show that combining ideas from the fields of quantum invariants and optimal control can be used to design optimal quantum control solutions without explicit reference to quantum states. The states are specified only implicitly in terms of operators to which…
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Abstract The authors have requested that this preprint be removed from Research Square.
preprints
Y. Charan Krishna
2024
置信度 0.74
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2024-04-17T12:01:27Z
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Among the hot research topics, Fintech is leading the trend in terms of the newest technology applications. The relatively new emerging paradigms in various sciences, such as geometry (fractals), physics (quantum), and database systems (distributed ledger—bloc…
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arxiv
Miaoran Zhang, Mingyang Wang, Jesujoba O. Alabi, Dietrich Klakow
2024-04-01T21:21:15Z
置信度 0.78
cs.CL
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arxiv
Yuekun Dai, Dafeng Zhang, Xiaoming Li, Zongsheng Yue 等
2024-04-30T13:11:12Z
置信度 0.78
cs.CV
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arxiv
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2024-06-17T06:41:12Z
置信度 0.78
eess.AScs.SD
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Memes, combining text and images, frequently use metaphors to convey persuasive messages, shaping public opinion. Motivated by this, our team engaged in SemEval-2024 Task 4, a hierarchical multi-label classification task designed to identify rhetorical and psy…
arxiv
Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Lele Wang, Giuseppe Carenini
2024-04-03T19:17:43Z
置信度 0.78
cs.CLcs.CVcs.ITcs.LG
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arxiv
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini 等
2024-09-08T19:59:53Z
置信度 0.78
cs.LGcs.AI
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Portfolio Optimization (PO) is a financial problem aiming to maximize the net gains while minimizing the risks in a given investment portfolio. The novelty of Quantum algorithms lies in their acclaimed potential and capability to solve complex problems given t…
arxiv
Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique
2024-07-29T10:26:28Z
置信度 0.78
quant-phq-fin.PM
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Clinical documentation is an important aspect of clinicians' daily work and often demands a significant amount of time. The BioNLP 2024 Shared Task on Streamlining Discharge Documentation (Discharge Me!) aims to alleviate this documentation burden by automatic…
arxiv
Jinghui Liu, Aaron Nicolson, Jason Dowling, Bevan Koopman 等
2024-07-03T00:32:28Z
置信度 0.78
cs.CL
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Historical languages present unique challenges to the NLP community, with one prominent hurdle being the limited resources available in their closed corpora. This work describes our submission to the constrained subtask of the SIGTYP 2024 shared task, focusing…
arxiv
Frederick Riemenschneider, Kevin Krahn
2024-05-30T15:23:34Z
置信度 0.78
cs.CL
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This paper summarizes the experiments and results of the HYBRINFOX team for the CheckThat! 2024 - Task 1 competition. We propose an approach enriching Language Models such as RoBERTa with embeddings produced by triples (subject ; predicate ; object) extracted …
arxiv
Géraud Faye, Morgane Casanova, Benjamin Icard, Julien Chanson 等
2024-07-04T11:33:54Z
置信度 0.78
cs.CLcs.AI
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This paper presents our approach to the EHRSQL-2024 shared task, which aims to develop a reliable Text-to-SQL system for electronic health records. We propose two approaches that leverage large language models (LLMs) for prompting and fine-tuning to generate E…
arxiv
Satya K Gundabathula, Sriram R Kolar
2024-05-14T07:16:56Z
置信度 0.78
cs.DBcs.AIcs.CLcs.LG
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This technical report details our systems submitted for Task 3 of the DCASE 2024 Challenge: Audio and Audiovisual Sound Event Localization and Detection (SELD) with Source Distance Estimation (SDE). We address only the audio-only SELD with SDE (SELDDE) task in…
arxiv
Jun Wei Yeow, Ee-Leng Tan, Jisheng Bai, Santi Peksi 等
2024-07-12T06:23:21Z
置信度 0.78
eess.AS