Výsledky vyhľadávania - "Information theory and computation"

Noise-induced barren plateaus in variational quantum algorithms Autor Wang, Samson, Fontana, Enrico, Cerezo, M., Sharma, Kunal, Sone, Akira, Cincio, Lukasz, Coles, Patrick J.

“…Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers. A natural question is whether…”
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Measuring the capabilities of quantum computers Autor Proctor, Timothy, Rudinger, Kenneth, Young, Kevin, Nielsen, Erik, Blume-Kohout, Robin

“…Quantum computers can now run interesting programs, but each processor’s capability—the set of programs that it can run successfully—is limited by hardware…”
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QUBO formulations for training machine learning models Autor Date, Prasanna, Arthur, Davis, Pusey-Nazzaro, Lauren

“…Training machine learning models on classical computers is usually a time and compute intensive process. With Moore’s law nearing its inevitable end and an…”
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The learnability of Pauli noise Autor Chen, Senrui, Liu, Yunchao, Otten, Matthew, Seif, Alireza, Fefferman, Bill, Jiang, Liang

“…Recently, several quantum benchmarking algorithms have been developed to characterize noisy quantum gates on today’s quantum devices. A fundamental issue in…”
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Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer Autor Niroula, Pradeep, Shaydulin, Ruslan, Yalovetzky, Romina, Minssen, Pierre, Herman, Dylan, Hu, Shaohan, Pistoia, Marco

“…Realizing the potential of near-term quantum computers to solve industry-relevant constrained-optimization problems is a promising path to quantum advantage…”
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Homophily influences ranking of minorities in social networks Autor Karimi, Fariba, Génois, Mathieu, Wagner, Claudia, Singer, Philipp, Strohmaier, Markus

“…Homophily can put minority groups at a disadvantage by restricting their ability to establish links with a majority group or to access novel information. Here,…”
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QUBO formulations for training machine learning models Autor Date, Prasanna, Arthur, Davis, Pusey-Nazzaro, Lauren

“…Abstract Training machine learning models on classical computers is usually a time and compute intensive process. With Moore’s law nearing its inevitable end…”
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Variational consistent histories as a hybrid algorithm for quantum foundations Autor Arrasmith, Andrew, Cincio, Lukasz, Sornborger, Andrew T., Zurek, Wojciech H., Coles, Patrick J.

“…Although quantum computers are predicted to have many commercial applications, less attention has been given to their potential for resolving foundational…”
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Detecting and tracking drift in quantum information processors Autor Proctor, Timothy, Revelle, Melissa, Nielsen, Erik, Rudinger, Kenneth, Lobser, Daniel, Maunz, Peter, Blume-Kohout, Robin, Young, Kevin

“…If quantum information processors are to fulfill their potential, the diverse errors that affect them must be understood and suppressed. But errors typically…”
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Decomposing causality into its synergistic, unique, and redundant components Autor Martínez-Sánchez, Álvaro, Arranz, Gonzalo, Lozano-Durán, Adrián

“…Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite…”
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Interactive cryptographic proofs of quantumness using mid-circuit measurements Autor Zhu, Daiwei, Kahanamoku-Meyer, Gregory D, Lewis, Laura, Noel, Crystal, Katz, Or, Harraz, Bahaa, Wang, Qingfeng, Risinger, Andrew, Feng, Lei, Biswas, Debopriyo, Egan, Laird, Gheorghiu, Alexandru, Nam, Yunseong, Vidick, Thomas, Vazirani, Umesh, Yao, Norman Y, Cetina, Marko, Monroe, Christopher

“…The ability to perform measurements in the middle of a quantum circuit is a powerful resource. It underlies a wide range of applications, from remote state…”
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Scaling quantum approximate optimization on near-term hardware Autor Lotshaw, Phillip C., Nguyen, Thien, Santana, Anthony, McCaskey, Alexander, Herrman, Rebekah, Ostrowski, James, Siopsis, George, Humble, Travis S.

“…The quantum approximate optimization algorithm (QAOA) is an approach for near-term quantum computers to potentially demonstrate computational advantage in…”
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Explosive neural networks via higher-order interactions in curved statistical manifolds Autor Aguilera, Miguel, Morales, Pablo A., Rosas, Fernando E., Shimazaki, Hideaki

“…Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the…”
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Quantum reservoir computing implementation on coherently coupled quantum oscillators Autor Dudas, Julien, Carles, Baptiste, Plouet, Erwan, Mizrahi, Frank Alice, Grollier, Julie, Marković, Danijela

“…Quantum reservoir computing is a promising approach for quantum neural networks, capable of solving hard learning tasks on both classical and quantum input…”
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Quantum computing universal thermalization dynamics in a (2 + 1)D Lattice Gauge Theory Autor Mueller, Niklas, Wang, Tianyi, Katz, Or, Davoudi, Zohreh, Cetina, Marko

“…Simulating non-equilibrium phenomena in strongly-interacting quantum many-body systems, including thermalization, is a promising application of near-term and…”
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Machine learning and serving of discrete field theories Autor Qin, Hong

“…A method for machine learning and serving of discrete field theories in physics is developed. The learning algorithm trains a discrete field theory from a set…”
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Perovskite- and Dye-Sensitized Solar-Cell Device Databases Auto-generated Using ChemDataExtractor Autor Beard, Edward J., Cole, Jacqueline M.

“…The number of scientific publications reporting cutting-edge third-generation photovoltaic devices is increasing rapidly, owing to the pressing need to develop…”
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Leveraging prior mean models for faster Bayesian optimization of particle accelerators Autor Boltz, Tobias, Martinez, Jose L., Xu, Connie, Baker, Kathryn R. L., Zhu, Zihan, Morgan, Jenny, Roussel, Ryan, Ratner, Daniel, Mustapha, Brahim, Edelen, Auralee L.

“…Tuning particle accelerators is a challenging and time-consuming task that can be automated and carried out efficiently using suitable optimization algorithms,…”
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Error rate reduction of single-qubit gates via noise-aware decomposition into native gates Autor Maldonado, Thomas J., Flick, Johannes, Krastanov, Stefan, Galda, Alexey

“…In the current era of Noisy Intermediate-Scale Quantum (NISQ) technology, the practical use of quantum computers remains inhibited by our inability to aptly…”
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Complexity-calibrated benchmarks for machine learning reveal when prediction algorithms succeed and mislead Autor Marzen, Sarah E., Riechers, Paul M., Crutchfield, James P.

“…Recurrent neural networks are used to forecast time series in finance, climate, language, and from many other domains. Reservoir computers are a particularly…”
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