Results 41 to 50 of about 2,680 (272)
Quantum processor-inspired machine learning in the biomedical sciences
Patterns, 2021 Summary: Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex molecular underpinnings of human disease from a genome-wide perspective ...
Richard Y. Li +7 more
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Trip Planning Based on subQUBO Annealing
IEEE Access, 2023 The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi +3 more
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A cautionary tale for machine learning generated configurations in presence of a conserved quantity
Scientific Reports, 2021 We investigate the performance of machine learning algorithms trained exclusively with configurations obtained from importance sampling Monte Carlo simulations of the two-dimensional Ising model with conserved magnetization.
Ahmadreza Azizi, Michel Pleimling
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Application of Ising Machines and a Software Development for Ising Machines
Journal of the Physical Society of Japan, 2019 An online advertisement optimization, which can be represented by a combinatorial optimization problem is performed using D-Wave 2000Q, a quantum annealing machine.
Kotaro Tanahashi +3 more
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Advanced Quantum Technologies, 2023 Abstract A quantum neural network (QNN) is a method to find patterns in quantum data and has a wide range of applications including quantum chemistry, quantum computation, quantum metrology, and quantum simulation. Efficiency and universality are two desirable properties of a QNN but are unfortunately contradictory.
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Scientific Reports, 2023 Realizing compact and scalable Ising machines that are compatible with CMOS-process technology is crucial to the effectiveness and practicality of using such hardware platforms for accelerating computationally intractable problems.
Antik Mallick +10 more
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A general learning scheme for classical and quantum Ising machines
SciPost Physics CoreAn Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this paper, we propose a new machine learning model that is based on the Ising
Ludwig Schmid, Enrico Zardini, Davide Pastorello
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Is Machine Learning Real Learning?
Center for Educational Policy Studies Journal, 2019 The question of whether machine learning is real learning is ambiguous, because the term “real learning” can be understood in two different ways. Firstly, it can be understood as learning that actually exists and is, as such, opposed to something that only appears to be learning, or is misleadingly called learning despite being something else ...
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, 2022 We demonstrate a spin-wave-based time-multiplexed Ising Machine (SWIM), implemented using a 5 $μ$m thick Yttrium Iron Garnet (YIG) film and off-the-shelf microwave components. The artificial Ising spins consist of 34--68 ns long 3.125 GHz spinwave RF pulses with their phase binarized using a phase-sensitive microwave amplifier.
Litvinenko, Artem +6 more
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Quantum-Classical Computational Molecular Design of Deuterated High-Efficiency OLED Emitters
Intelligent Computing, 2023 This paper describes a hybrid quantum-classical computational approach to designing synthesizable deuterated tris(8-hydroxyquinolinato) aluminum (Alq3) emitters with desirable emission quantum efficiency (QE).
Qi Gao +7 more
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