Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Kashefi, Elham"'
Autor:
Polacchi, Beatrice, Leichtle, Dominik, Carvacho, Gonzalo, Milani, Giorgio, Spagnolo, Nicolò, Kaplan, Marc, Kashefi, Elham, Sciarrino, Fabio
The exploitation of certification tools by end users represents a fundamental aspect of the development of quantum technologies as the hardware scales up beyond the regime of classical simulatability. Certifying quantum networks becomes even more cru
Externí odkaz:
http://arxiv.org/abs/2407.09310
The standard randomized benchmarking protocol requires access to often complex operations that are not always directly accessible. Compiler optimization does not always ensure equal sequence length of the directly accessible universal gates for each
Externí odkaz:
http://arxiv.org/abs/2405.05215
The relevance of shallow-depth quantum circuits has recently increased, mainly due to their applicability to near-term devices. In this context, one of the main goals of quantum circuit complexity is to find problems that can be solved by quantum sha
Externí odkaz:
http://arxiv.org/abs/2404.18104
In this paper, we introduce a new approach to quantum benchmarking inspired by quantum verification motivating new paradigms of quantum benchmarking. Our proposed benchmark not only serves as a robust indicator of computational capability but also of
Externí odkaz:
http://arxiv.org/abs/2404.10739
Quantum state purification is the functionality that, given multiple copies of an unknown state, outputs a state with increased purity. This will be an essential building block for near- and middle-term quantum ecosystems before the availability of f
Externí odkaz:
http://arxiv.org/abs/2404.09973
With the advent of delegated quantum computing as a service, verifying quantum computations is becoming a question of great importance. Existing information theoretically Secure Delegated Quantum Computing (SDQC) protocols require the client to posse
Externí odkaz:
http://arxiv.org/abs/2403.10464
Autor:
Mhiri, Hela, Monbroussou, Leo, Herrero-Gonzalez, Mario, Thabet, Slimane, Kashefi, Elham, Landman, Jonas
In this work, we highlight an unforeseen behavior of the expressivity of Parameterized Quantum Circuits (PQC) for machine learning. A large class of these models, seen as Fourier Series which frequencies are derived from the encoding gates, were thou
Externí odkaz:
http://arxiv.org/abs/2403.09417
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
Quantum machine learning has become a promising area for real world applications of quantum computers, but near-term methods and their scalability are still important research topics. In this context, we analyze the trainability and controllability o
Externí odkaz:
http://arxiv.org/abs/2309.15547
Differential privacy is a widely used notion of security that enables the processing of sensitive information. In short, differentially private algorithms map "neighbouring" inputs to close output distributions. Prior work proposed several quantum ex
Externí odkaz:
http://arxiv.org/abs/2307.04733