Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pooya Ronagh"'
Autor:
Krishanu Sankar, Artur Scherer, Satoshi Kako, Sam Reifenstein, Navid Ghadermarzy, Willem B. Krayenhoff, Yoshitaka Inui, Edwin Ng, Tatsuhiro Onodera, Pooya Ronagh, Yoshihisa Yamamoto
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-21 (2024)
Abstract We study the performance scaling of three quantum algorithms for combinatorial optimization: measurement-feedback coherent Ising machines (MFB-CIM), discrete adiabatic quantum computation (DAQC), and the Dürr–Høyer algorithm for quantum
Externí odkaz:
https://doaj.org/article/a7149b52594e4d1692d46edd650d9c81
We investigate the possibility of solving continuous non-convex optimization problems using a network of interacting quantum optical oscillators. We propose a native encoding of continuous variables in analog signals associated with the quadrature op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6df4ce7f8974555063e0746c75bc874
http://arxiv.org/abs/2209.04415
http://arxiv.org/abs/2209.04415
Publikováno v:
Quantum Machine Intelligence. 4
We introduce two quantum algorithms for solving structured prediction problems. We first show that a stochastic gradient descent that uses the quantum minimum finding algorithm and takes its probabilistic failure into account solves the structured pr
Reinforcement learning (RL) has become a proven method for optimizing a procedure for which success has been defined, but the specific actions needed to achieve it have not. Using a method we call ‘controlled online optimization learning’ (COOL),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06df550497513ecab7c230339082ecbe
https://doi.org/10.1038/s42256-020-0226-x
https://doi.org/10.1038/s42256-020-0226-x
Autor:
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Near-term quantum computers provide a promising platform for finding ground states of quantum systems, which is an essential task in physics, chemistry, and materials science. Near-term approaches, however, are constrained by the effects of noise as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b54846a5dd094dc141226d9a783b1f2
Autor:
Christopher Chamberland, Pooya Ronagh
Finding efficient decoders for quantum error correcting codes adapted to realistic experimental noise in fault-tolerant devices represents a significant challenge. In this paper we introduce several decoding algorithms complemented by deep neural dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::710e1d0d390402d3911d4b0ebb2b2c4b
http://arxiv.org/abs/1802.06441
http://arxiv.org/abs/1802.06441
Autor:
Pooya Ronagh, Sahar Karimi
Recent advancements in quantum annealing hardware and numerous studies in this area suggest that quantum annealers have the potential to be effective in solving unconstrained binary quadratic programming problems. Naturally, one may desire to expand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0e7ff19fafdf3686d7c3bbdf326a629
Autor:
Kai Behrend, Pooya Ronagh
We study the action of the inertia operator on the motivic Hall algebra, and prove that it is diagonalizable. This leads to a filtration of the Hall algebra, whose associated graded algebra is commutative. In particular, the degree 1 subspace forms a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b0303257347d909b039f61764325e68
http://arxiv.org/abs/1612.00372
http://arxiv.org/abs/1612.00372
Autor:
Pooya Ronagh, Sahar Karimi
An earlier work [18] proposes a method for solving the Lagrangian dual of a constrained binary quadratic programming problem via quantum adiabatic evolution using an outer approximation method. This should be an efficient prescription for solving the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85585aa8230db9e920e0f3aff3e1ba99