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pro vyhledávání: '"Lloyd, Seth"'
A large spectrum of problems in classical physics and engineering, such as turbulence, is governed by nonlinear differential equations, which typically require high-performance computing to be solved. Over the past decade, however, the growth of clas
Externí odkaz:
http://arxiv.org/abs/2406.04826
We present a quantum optical pattern recognition method for binary classification tasks. Without direct image reconstruction, it classifies an object in terms of the rate of two-photon coincidences at the output of a Hong-Ou-Mandel interferometer, wh
Externí odkaz:
http://arxiv.org/abs/2404.15266
Quantum machine learning has the potential to enable advances in artificial intelligence, such as solving problems intractable on classical computers. Some fundamental ideas behind quantum machine learning are similar to kernel methods in classical m
Externí odkaz:
http://arxiv.org/abs/2308.06807
Autor:
Zoratti, Fabio, De Palma, Giacomo, Kiani, Bobak, Nguyen, Quynh T., Marvian, Milad, Lloyd, Seth, Giovannetti, Vittorio
Publikováno v:
Phys. Rev. A 108, 022611 (2023)
We consider the problem of devising a suitable Quantum Error Correction (QEC) procedures for a generic quantum noise acting on a quantum circuit. In general, there is no analytic universal procedure to obtain the encoding and correction unitary gates
Externí odkaz:
http://arxiv.org/abs/2301.05273
Publikováno v:
Quantum 8, 1406 (2024)
In this paper we will attempt to answer the following question: what are the natural quantum subsystems which emerge out of a system's dynamical laws? To answer this question we first define generalized tensor product structures (gTPS) in terms of ob
Externí odkaz:
http://arxiv.org/abs/2212.14340
Publikováno v:
Phys. Rev. A 109, 022429 (2024)
Scrambling of quantum information is an important feature at the root of randomization and benchmarking protocols, the onset of quantum chaos, and black-hole physics. Unscrambling this information is possible given perfect knowledge of the scrambler
Externí odkaz:
http://arxiv.org/abs/2212.11338
Publikováno v:
Phys. Rev. Lett. 132, 080402 (2024)
Quantum information scrambling is a unitary process that destroys local correlations and spreads information throughout the system, effectively hiding it in nonlocal degrees of freedom. In principle, unscrambling this information is possible with per
Externí odkaz:
http://arxiv.org/abs/2212.11337
In light of recently proposed quantum algorithms that incorporate symmetries in the hope of quantum advantage, we show that with symmetries that are restrictive enough, classical algorithms can efficiently emulate their quantum counterparts given cer
Externí odkaz:
http://arxiv.org/abs/2211.16998
Publikováno v:
Phys. Rev. Applied 19, 054023 (2023)
Quantum machine learning has the potential to provide powerful algorithms for artificial intelligence. The pursuit of quantum advantage in quantum machine learning is an active area of research. For current noisy, intermediate-scale quantum (NISQ) co
Externí odkaz:
http://arxiv.org/abs/2211.02748
We propose Hamiltonian Quantum Generative Adversarial Networks (HQuGANs), to learn to generate unknown input quantum states using two competing quantum optimal controls. The game-theoretic framework of the algorithm is inspired by the success of clas
Externí odkaz:
http://arxiv.org/abs/2211.02584