Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Turkalj, Ivica"'
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) to optimize the structure of parameterized quantum circuits employed in Quantum Machine Learning (QML). Rec
Externí odkaz:
http://arxiv.org/abs/2406.01095
Autor:
Holzer, Patrick, Turkalj, Ivica
Quantum Neural Networks (QNNs) are a popular approach in Quantum Machine Learning due to their close connection to Variational Quantum Circuits, making them a promising candidate for practical applications on Noisy Intermediate-Scale Quantum (NISQ) d
Externí odkaz:
http://arxiv.org/abs/2402.14515
Publikováno v:
2023 IEEE International Conference on Quantum Computing and Engineering (QCE23)
Classical Monte Carlo algorithms can theoretically be sped up on a quantum computer by employing amplitude estimation (AE). To realize this, an efficient implementation of state-dependent functions is crucial. We develop a straightforward approach ba
Externí odkaz:
http://arxiv.org/abs/2304.08793
Autor:
Laudagé, Christian, Turkalj, Ivica
Risk measures are important key figures to measure the adequacy of the reserves of a company. The most common risk measures in practice are Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). Recently, quantum-based algorithms are introduced to
Externí odkaz:
http://arxiv.org/abs/2211.04456
Autor:
Turkalj, Ivica1 (AUTHOR) ivica.turkalj@itwm.fraunhofer.de, Assadsolimani, Mohammad2 (AUTHOR), Braun, Markus3 (AUTHOR) sven.kerstan@jos-quantum.de, Halffmann, Pascal1 (AUTHOR), Hegemann, Niklas3 (AUTHOR) yuanheng.zhou@tum.de, Kerstan, Sven3 (AUTHOR), Maciejewski, Janik4 (AUTHOR), Sharma, Shivam1 (AUTHOR), Zhou, Yuanheng3 (AUTHOR)
Publikováno v:
Risks. Feb2024, Vol. 12 Issue 2, p23. 17p.
Autor:
Turkalj, Ivica
In this paper we give a complete classification of totally-reflective, primitive genera in dimension 3 and 4. Our method breaks up into two parts. The first part consists of classifying the square free, totally-reflective, primitive genera by calcula
Externí odkaz:
http://arxiv.org/abs/1503.04428
Classical Monte Carlo algorithms can theoretically be sped up on a quantum computer by employing amplitude estimation (AE). To realize this, an efficient implementation of state-dependent functions is crucial. We develop a straightforward approach ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e8ed7fcbcc6f53866a7598625544ab
Autor:
Laudagé, Christian, Turkalj, Ivica
Risk measures are important key figures to measure the adequacy of the reserves of a company. The most common risk measures in practice are Value-at-Risk (VaR) and Expected Shortfall (ES). Woerner and Egger (arXiv:1806.06893) introduce quantum based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bc4433135ce75cc3905145f32f3c26d