Results 111 to 120 of about 8,042,432 (193)
Improving 2–5 Qubit Quantum Phase Estimation Circuits Using Machine Learning [PDF]
Quantum computing has the potential to solve problems that are currently intractable to classical computers with algorithms like Quantum Phase Estimation (QPE); however, noise significantly hinders the performance of today’s quantum computers.
Woodrum, Charles +5 more
core +1 more source
Take a Ride on a Time Machine [PDF]
, 2003 We discuss the possibility to build and operate a time machine, a device that produces closed timelike curves (CTCs). We specify the spacetime structure needed to implement a time machine and assess attempted no-go results against time machines in ...
Wuthrich, Christian +2 more
core
Video-Language Critic : Transferable Reward Functions for Language-Conditioned Robotics [PDF]
Publisher Copyright: © 2025, Transactions on Machine Learning Research.Natural language is often the easiest and most convenient modality for humans to specify tasks for robots.
Woungang, Isaac +6 more
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Quantum memristors for neuromorphic quantum machine learning
CoRRInvited ...
openaire +2 more sources
Quantum Machine Learning: Quantum Kernel Methods
CoRRQuantum algorithms based on quantum kernel methods have been investigated previously [1]. A quantum advantage is derived from the fact that it is possible to construct a family of datasets for which, only quantum processing can recognise the intrinsic labelling patterns, while for classical computers the dataset looks like noise.
openaire +2 more sources
Implementation and empirical evaluation of a quantum machine learning pipeline for local classification. [PDF]
PLoS One, 2023 Zardini E, Blanzieri E, Pastorello D.
europepmc +1 more source
Quantum machine learning with differential privacy. [PDF]
Sci Rep, 2023 Watkins WM, Chen SY, Yoo S.
europepmc +1 more source
Quantum Machine Learning for Malware Classification
In a context of malicious software detection, machine learning (ML) is widely used to generalize to new malware. However, it has been demonstrated that ML models can be fooled or may have generalization problems on malware that has never been seen. We investigate the possible benefits of quantum algorithms for classification tasks.
Grégoire Barrué, Tony Quertier
openaire +3 more sources
Federated Quantum Machine Learning over Satellite Networks: Toward Scalable Distributed Quantum Classification. [PDF]
Entropy (Basel)Boschero JC +4 more
europepmc +1 more source
Oncological Applications of Quantum Machine Learning. [PDF]
Technol Cancer Res Treat, 2023 Rahimi M, Asadi F.
europepmc +1 more source