Results 91 to 100 of about 6,645,845 (367)
Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning
EntropyIdentifying key nodes in networks is a fundamental problem in network science. This study proposes a quantum deep reinforcement learning (QDRL) framework that integrates reinforcement learning with a variational quantum graph neural network, effectively ...
Juechan Xiong +2 more
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Quantum algorithm for solving the test suite minimization problem
Cogent Engineering, 2021 Test-suite minimization problem is an essential problem in software engineering as its application helps to improve the software quality. This paper proposes a quantum algorithm to solve the test-suite minimization problem with high probability in $$O ...
Hager Hussein +2 more
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Direct Characterization of Quantum Dynamics
, 2007 The characterization of quantum dynamics is a fundamental and central task in quantum mechanics. This task is typically addressed by quantum process tomography (QPT).
D. A. Lidar, M. Mohseni, M. A. Nielsen
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Operating Quantum States in Single Magnetic Molecules: Implementation of Grover's Quantum Algorithm. [PDF]
Physical Review Letters, 2017 Quantum algorithms use the principles of quantum mechanics, such as, for example, quantum superposition, in order to solve particular problems outperforming standard computation.
C. Godfrin +6 more
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Quantum entanglement and quantum computational algorithms [PDF]
Pramana, 2001 9-pages latex, lecture given at the International Winter Institute on Foundations of Quantum Theory and Quantum Optics, SNBNCBS, Calcutta ...
openaire +2 more sources
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Advanced Functional Materials, EarlyView.Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
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Fixed-Point Grover Adaptive Search for Quadratic Binary Optimization Problems
IEEE Transactions on Quantum EngineeringIn this article, we study a Grover-type method for quadratic unconstrained binary optimization (QUBO) problems. For an $n$-dimensional QUBO problem with $m$ nonzero terms, we construct a marker oracle for such problems with a tunable parameter, $\Lambda \
Akos Nagy +4 more
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A quantum causal discovery algorithm
, 2018 Finding a causal model for a set of classical variables is now a well-established task---but what about the quantum equivalent? Even the notion of a quantum causal model is controversial. Here, we present a causal discovery algorithm for quantum systems.
Costa, Fabio, Giarmatzi, Christina
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Quantum Algorithm for Systems of Linear Equations with Exponentially Improved Dependence on Precision [PDF]
SIAM journal on computing (Print), 2015 Harrow, Hassidim, and Lloyd [Phys. Rev. Lett., 103 (2009), 150502] showed that for a suitably specified $N \times N$ matrix $A$ and an $N$-dimensional vector $\vec{b}$, there is a quantum algorithm that outputs a quantum state proportional to the ...
Andrew M. Childs +2 more
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Synchrotron Radiation for Quantum Technology
Advanced Functional Materials, EarlyView.Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source