quantum machine
A Conceptual Lever and the Narrative Construction of the Cyborg as a Quantum Machine
... I have divided this theoretical paper into seven components. I begin the discussion with the practice of diffractive (Barad, 2007), which has been adopted in order to weave a polyphonic tapestry out of multi-disciplinary ...
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Quantum Machine Learning
... harnessing quantum mechanical effects such as tunneling, superposition, and ...The Quantum Artificial Intelligence Laboratory (QuAIL) at NASA Ames Research Center is the space agency’s primary facility for ...
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Quantum machine learning in chemical space
... Another area of focus is on developing new and accurate QML models. A new representation of atoms in its chemical environment is introduced, by rethinking the way structural and chemical compound information is encoded ...
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Towards quantum machine learning with tensor networks
... In this section, we first describe our tensor-network based proposal for performing discriminative tasks with quantum hardware. The goal of a discriminative model is to produce a specific output given a certain ...
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Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future
... ANN is a biologically inspired data processing structure which is designed to learn different operations from the observed data. ANNs are generally used to recognize any patterns within the input data by passing the data ...
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Compilation by stochastic Hamiltonian sparsification
... of quantum simula- tion while keeping the size of simulation error ...a quantum machine, using the stochastic sparsification of a target Hamiltonian to derive a hy- brid approach between canonical ...
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Quantum adiabatic machine learning by zooming into a region of the energy surface
... intermediate-scale quantum devices may be approaching real-world applicability in machine learn- ing despite their ...for quantum annealing applications, potentially extending to quantum ...
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Quantum Bootstrap Aggregation
... implement quantum bootstrap ag- gregation, specifically quantum attribute bootstrap aggregation, without penalty in quantum machine learning scenarios, using as an exemplar the Rebentrost, ...
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Comparisons of Performance between Quantum and Classical Machine Learning
... a quantum computer to run quantum machine learning algorithms ...® Quantum Experience [4], which can be combined with IBM ® application pro- gramming interfaces (APIs) to interact with ...
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Training a Quantum Neural Network to Solve the Contextual Multi Armed Bandit Problem
... computing. Quantum com- puters employ the peculiar and unique properties of quantum states such as superposition, entanglement, and interference to process information in ways that classical computers ...
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Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm
... Classical machine learning, which is at the intersection of artificial intelligence and statistics, investigates and formulates algorithms which can be used to discover pat- terns in the given data and also make ...
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Investigating Quantum Computation
... behind quantum computation unlocks a world of interdisci- plinary applications, especially in machine ...of machine learning is to program a computer to recognize and categorize data ...of ...
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Quantum Support Vector Machine for Big Data Classification
... in machine learning, the support vector machine, can be implemented quantum mechanically with algorithmic complexity logarithmic in feature size and the number of training data, thus providing one ...
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Quantum Computers and Quantum Computer Languages: Quantum Assembly Language and Quantum C
... With this Hamiltonian formulation we can imagine wishing to simulate a physical (or mathematical) process, defining a Hamiltonian that corresponds to the process, and then creating an experimental setup using a set of ...
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QUANTUM RESOURRECTION: QUANTUM ALGORITHM WITH COMPLEX CONJUGATION REVERSES PHASES OF THE WAVE FUNCTION COMPONENTS
... Light is a powerful tool to manipulate matter, but existing approaches often necessitate focused, high-intensity light that limits the manipulated object’s shape, material and size. The breakthrough development could ...
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Exact Quasi Classical Asymptotic beyond Maslov Canonical Operator and Quantum Jumps Nature
... of quantum mechanics is that we cannot predict the result of any single measurement of an observ- able of a quantum mechanical system in a superposition of ...
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LOGICAL ENTROPY: INTRODUCTION TO CLASSICAL AND QUANTUM LOGICAL INFORMATION THEORY
... the quantum case is h ( ρ ) = 1 − tr ρ 2 where a density matrix ρ replaces the probability distribution p and the trace replaces the ...section, quantum logical entropies were defined in terms of given ...
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A New Quantum Lower Bound Method, with an Application to a Strong Direct Product Theorem for Quantum Search
... [16] H. K LAUCK , R. ˇS PALEK , AND R. DE W OLF : Quantum and classical strong direct product theo- rems and optimal time-space tradeoffs. SIAM J. Comput., 36(5):1472–1493, 2007. Conference ver- sion at FOCS’04. ...
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3-11-2013 12:00 AM On the Physical Explanation for Quantum Computational Speedup
... with quantum objects, however, things begin to get more ...and quantum computer gates above. Quantum objects like electrons, therefore, manifest both particle and wave ...
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Topics in Quantum Computing Architecture
... of quantum systems equipped with coherent feedback for the purpose of characterizing decoherence free subsystems, quantum nondemolished (QND) variables and measurements capable of evading backaction; in ...
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