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Characterizing a quantum system by learning its state or evolution is a fundamental problem in quantum physics and learning theory with a myriad of applications. Recently, as a new approach to this problem, the task of agnostic state tomography was d
Externí odkaz:
http://arxiv.org/abs/2410.11957
Autor:
Doosti, Mina, Wallden, Petros, Hamill, Conor Brian, Hankache, Robert, Brown, Oliver Thomson, Heunen, Chris
This review paper examines state-of-the-art algorithms and techniques in quantum machine learning with potential applications in finance. We discuss QML techniques in supervised learning tasks, such as Quantum Variational Classifiers, Quantum Kernel
Externí odkaz:
http://arxiv.org/abs/2407.12618
Autor:
Hoch, Francesco, Rodari, Giovanni, Caruccio, Eugenio, Polacchi, Beatrice, Carvacho, Gonzalo, Giordani, Taira, Doosti, Mina, Nicolau, Sebastià, Pentangelo, Ciro, Piacentini, Simone, Crespi, Andrea, Ceccarelli, Francesco, Osellame, Roberto, Galvão, Ernesto F., Spagnolo, Nicolò, Sciarrino, Fabio
A seminal task in quantum information theory is to realize a device able to produce copies of a generic input state with the highest possible output fidelity, thus realizing an \textit{optimal} quantum cloning machine. Recently, the concept of variat
Externí odkaz:
http://arxiv.org/abs/2407.06026
Quantum contextuality is a key nonclassical feature essential for understanding advantages in quantum computation and communication. We introduce a new framework to study contextuality based solely on information processing statistics. This simple an
Externí odkaz:
http://arxiv.org/abs/2406.19382
Autor:
Wadhwa, Chirag, Doosti, Mina
This work studies the learnability of unknown quantum circuits in the near term. We prove the natural robustness of quantum statistical queries for learning quantum processes and provide an efficient way to benchmark various classes of noise from sta
Externí odkaz:
http://arxiv.org/abs/2405.12085
Autor:
Shimada, Soshi, Mueller, Franziska, Bednarik, Jan, Doosti, Bardia, Bickel, Bernd, Tang, Danhang, Golyanik, Vladislav, Taylor, Jonathan, Theobalt, Christian, Beeler, Thabo
The physical properties of an object, such as mass, significantly affect how we manipulate it with our hands. Surprisingly, this aspect has so far been neglected in prior work on 3D motion synthesis. To improve the naturalness of the synthesized 3D h
Externí odkaz:
http://arxiv.org/abs/2312.14929
Autor:
Singh, Shraddha, Doosti, Mina, Mathur, Natansh, Delavar, Mahshid, Mantri, Atul, Ollivier, Harold, Kashefi, Elham
We present a framework for the unification and standardization of quantum network protocols, making their realization easier and expanding their use cases to a broader range of communities interested in quantum technologies. Our framework is availabl
Externí odkaz:
http://arxiv.org/abs/2310.12780
Autor:
Wadhwa, Chirag, Doosti, Mina
Learning complex quantum processes is a central challenge in many areas of quantum computing and quantum machine learning, with applications in quantum benchmarking, cryptanalysis, and variational quantum algorithms. This paper introduces the first l
Externí odkaz:
http://arxiv.org/abs/2310.02075
Autor:
Doosti-Aref, Abed, Masouros, Christos, Zhu, Xu, Basar, Ertugrul, Coleri, Sinem, Arslan, Huseyin
Publikováno v:
IEEE Transactions on Vehicular Technology, Early Access, 2024
Orthogonal time sequency multiplexing (OTSM) has been recently proposed as a single-carrier waveform offering similar bit error rate to orthogonal time frequency space (OTFS) and outperforms orthogonal frequency division multiplexing (OFDM) in doubly
Externí odkaz:
http://arxiv.org/abs/2309.04161
Publikováno v:
Heritage, Vol 7, Iss 11, Pp 6137-6150 (2024)
The Silk Road connected the east of Iran to the western world. Roue city is close to the Road. Six glass samples from Roue were classified on the basis of morphology, archaeological context and compositions. The samples were analysed by means of XRF
Externí odkaz:
https://doaj.org/article/20f7d0ff036d4da5b943d316096e103e
