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Quantum Robot: Structure, Algorithms and Applications
A kind of brand-new robot, quantum robot, is proposed through fusing quantum theory with robot technology. Quantum robot is essentially a complex quantum system and it is generally composed of three fundamental parts: MQCU (multi quantum computing units),
Chen, Chun-Lin +3 more
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Systematic Analysis of Majorization in Quantum Algorithms [PDF]
Motivated by the need to uncover some underlying mathematical structure of optimal quantum computation, we carry out a systematic analysis of a wide variety of quantum algorithms from the majorization theory point of view.
Latorre, Jose I. +2 more
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Quantum algorithm for nonhomogeneous linear partial differential equations [PDF]
We describe a quantum algorithm for preparing states that encode solutions of non-homogeneous linear partial differential equations. The algorithm is a continuous-variable version of matrix inversion: it efficiently inverts differential operators that ...
J. M. Arrazola +3 more
semanticscholar +1 more source
Progress in Quantum Algorithms [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
New quantum algorithm for studying NP-complete problems
Ordinary approach to quantum algorithm is based on quantum Turing machine or quantum circuits. It is known that this approach is not powerful enough to solve NP-complete problems.
Accardi +13 more
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Quantum Algorithm for Linear Differential Equations with Exponentially Improved Dependence on Precision [PDF]
We present a quantum algorithm for systems of (possibly inhomogeneous) linear ordinary differential equations with constant coefficients. The algorithm produces a quantum state that is proportional to the solution at a desired final time.
D. Berry +3 more
semanticscholar +1 more source
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Learning the quantum algorithm for state overlap [PDF]
Short-depth algorithms are crucial for reducing computational error on near-term quantum computers, for which decoherence and gate infidelity remain important issues. Here we present a machine-learning approach for discovering such algorithms.
L. Cincio +3 more
semanticscholar +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source
We present an exact quantum algorithm for solving the Exact Satisfiability problem, which belongs to the important NP-complete complexity class. The algorithm is based on an intuitive approach that can be divided into two parts: the first step consists ...
Salvatore Mandrà +2 more
doaj +1 more source

