Results 31 to 40 of about 2,829,604 (309)
Quantum noise protects quantum classifiers against adversaries
Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies. However, noise has often played beneficial roles, from enhancing weak signals in stochastic resonance to
Yuxuan Du +4 more
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Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements
In quantum machine learning, feature vectors are encoded into quantum states. Measurements for the discrimination of states are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
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Measurement-based quantum computing with a spin ensemble coupled to a stripline cavity [PDF]
Recently, a new form of quantum memory was proposed. The storage medium is an ensemble of electron spins, coupled to a stripline cavity and an ancillary readout system.
Benjamin, Simon C. +9 more
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Strategies for Positive Partial Transpose (PPT) States in Quantum Metrologies with Noise
Quantum metrology overcomes standard precision limits and has the potential to play a key role in quantum sensing. Quantum mechanics, through the Heisenberg uncertainty principle, imposes limits on the precision of measurements.
Majumder, Arunava +5 more
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On the classification of quantum Poincaré groups [PDF]
31 pages, LaTeX file, minor changes in Remarks 1.7 ...
Podleś, P., Woronowicz, S. L.
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An efficient geometric approach to quantum-inspired classifications
Optimal measurements for the discrimination of quantum states are useful tools for classification problems. In order to exploit the potential of quantum computers, feature vectors have to be encoded into quantum states represented by density operators ...
Roberto Leporini, Davide Pastorello
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MULTISPECTRAL REMOTE SENSING IMAGE CLASSIFICATION BASED ON QUANTUM ENTANGLEMENT [PDF]
Aiming at the problems of low accuracy and slow speed in the current remote sensing image classification algorithm,In order to improve remote sensing image classification, a quantum entanglement algorithm is proposed.The model transforms the ...
F. Yang +15 more
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Classification of Hybrid Quantum-Classical Computing
As quantum computers mature, the applicability in practice becomes more important. Many uses of quantum computers will be hybrid, with classical computers still playing an important role in operating and using the quantum computer. The term hybrid is however diffuse and multi-interpretable. In this work we define two classes of hybrid quantum-classical
Frank Phillipson +2 more
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Fragments quantum descriptors in classification of bio-accumulative compounds [PDF]
The aim of the following research is to assess the applicability of calculated quantum properties of molecular fragments as molecular descriptors in machine learning classification task.
Marcin, Sajdak +1 more
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Classification of Quantum Tori with Involution [PDF]
AbstractQuantum tori with graded involution appear as coordinate algebras of extended affine Lie algebras of type A1, C and BC. We classify them in the category of algebras with involution. From this, we obtain precise information on the root systems of extended affine Lie algebras of type C.
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