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Now showing items 11-17 of 17
Quantum Artificial Life in an IBM Quantum Computer
(Nature Publishing, 2018-10-04)
We present the first experimental realization of a quantum artificial life algorithm in a quantum computer. The quantum biomimetic protocol encodes tailored quantum behaviors belonging to living systems, namely, self-replication, ...
Quantum Memristors With Superconducting Circuits
(Nature Publishing Group, 2017-02-14)
Memristors are resistive elements retaining information of their past dynamics. They have garnered substantial interest due to their potential for representing a paradigm change in electronics, information processing and ...
Secure quantum remote state preparation of squeezed microwave states
(Nature Publishing, 2019-06-13)
Quantum communication protocols based on nonclassical correlations can be more efficient than known classical methods and offer intrinsic security over direct state transfer. In particular, remote state preparation aims ...
Analog simulator of integro-differential equations with classical memristors
(Nature Publishing, 2019-09-10)
An analog computer makes use of continuously changeable quantities of a system, such as its electrical, mechanical, or hydraulic properties, to solve a given problem. While these devices are usually computationally more ...
Toward Pricing Financial Derivatives with an IBM Quantum Computer
(American Physical Society, 2021-02-22)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time evolution of interest rates. Several stochastic dynamics have been proposed in the literature ...
Finite-time quantum entanglement in propagating squeezed microwaves
(Nature Publishing, 2018-04-23)
Two-mode squeezing is a fascinating example of quantum entanglement manifested in cross-correlations of non-commuting observables between two subsystems. At the same time, these subsystems themselves may contain no quantum ...
Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer
(MDPI, 2023-02-10)
The prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can efficiently find optimal solutions. We experimentally explore a novel approach ...