Suchergebnisse - encoding (algorithmsssics OR (algorithm OR algorithm))

Quantum-Inspired Machine Learning for Molecular Docking von Shu, Runqiu, Liu, Bowen, Xiong, Zhaoping, Cui, Xiaopeng, Li, Yunting, Cui, Wei, Yung, Man-Hong, Qiao, Nan

Inhaltsangabe: “… -inspired algorithms combining quantum properties and annealing show great advantages in solving …”
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A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes von Carlet, Claude, Ðurasevic, Marko, Jakobovic, Domagoj, Picek, Stjepan, Mariot, Luca

Inhaltsangabe: “… years, evolutionary algorithms have been shown to be a strong option for evolving Boolean functions …”
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Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer von Masui, Kento, Otani, Mayu, Nomura, Masahiro, Nakayama, Hideki

Inhaltsangabe: “… transfer algorithm, Style Tracking Reverse Diffusion Process (STRDP) for a pretrained Latent Diffusion …”
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Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks von de Luca, Artur Back, Giapitzakis, George, Fountoulakis, Kimon

Inhaltsangabe: “… networks. In this work, we ask: can neural networks learn to execute binary-encoded algorithmic …”
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Efficient Simulation of Pre-Born-Oppenheimer Dynamics on a Quantum Computer von Pocrnic, Matthew, Loaiza, Ignacio, Arrazola, Juan Miguel, Wiebe, Nathan, Motlagh, Danial

Inhaltsangabe: “… In this work, we present a quantum algorithm for direct first-principles simulation of electron …”
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Efficient Plug-and-Play method for Dynamic Imaging Via Kalman Smoothing von Hawkes, Benjamin, Davies, Mike, Elvira, Victor, Repetti, Audrey

Inhaltsangabe: “… -and-Play (PnP) methods are a popular type of iterative algorithms that replace proximal operators encoding …”
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Curriculum reinforcement learning for quantum architecture search under hardware errors von Patel, Yash J., Kundu, Akash, Ostaszewski, Mateusz, Bonet-Monroig, Xavier, Dunjko, Vedran, Danaci, Onur

Inhaltsangabe: “… deployment. The algorithm incorporates (i) a 3D architecture encoding and restrictions on environment …”
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Parallel-in-time quantum simulation via Page and Wootters quantum time von Diaz, N. L., Braccia, Paolo, Larocca, Martin, Matera, J. M., Rossignoli, R., Cerezo, M.

Inhaltsangabe: “… In the past few decades, researchers have created a veritable zoo of quantum algorithms by drawing …”
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Quantum Detection of Sequency-Band Structure von Shukla, Alok, Vedula, Prakash

Inhaltsangabe: “… We present a quantum algorithm for estimating the amplitude content of user-specified sequency …”
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A Scalable Fully Distributed Quantum Alternating Direction Method of Multipliers for Unit Commitment Problems von Mingyu Yang, Fang Gao, Wei Dai, Dejian Huang, Qing Gao, Feng Shuang

Inhaltsangabe: “… subproblem 1, this algorithm encodes minimum up/down constraints into a hard constraint form within …”
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Incremental Measurement of Structural Entropy for Dynamic Graphs von Yang, Runze, Peng, Hao, Liu, Chunyang, Li, Angsheng

Inhaltsangabe: “… , we need to decode the optimal encoding tree corresponding to the best community partitioning for each …”
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Sample as You Infer: Predictive Coding With Langevin Dynamics von Zahid, Umais, Guo, Qinghai, Fountas, Zafeirios

Inhaltsangabe: “… We present a novel algorithm for parameter learning in generic deep generative models that builds …”
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Optimal Video Compression using Pixel Shift Tracking von Panneerselvam, Hitesh Saai Mananchery, Anand, Smit

Inhaltsangabe: “… The Video comprises approximately ~85\% of all internet traffic, but video encoding/compression …”
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QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation von Ivashkov, Petr, Huang, Po-Wei, Koor, Kelvin, Pira, Lirandë, Rebentrost, Patrick

Inhaltsangabe: “… We introduce quantum Kolmogorov-Arnold networks (QKAN), a quantum algorithmic framework inspired …”
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Fault-tolerant quantum computation with a neutral atom processor von Reichardt, Ben W., Paetznick, Adam, Aasen, David, Basov, Ivan, Bello-Rivas, Juan M., Bonderson, Parsa, Chao, Rui, van Dam, Wim, Hastings, Matthew B., Mishmash, Ryan V., Paz, Andres, da Silva, Marcus P., Sundaram, Aarthi, Svore, Krysta M., Vaschillo, Alexander, Wang, Zhenghan, Zanner, Matt, Cairncross, William B., Chen, Cheng-An, Crow, Daniel, Kim, Hyosub, Kindem, Jonathan M., King, Jonathan, McDonald, Michael, Norcia, Matthew A., Ryou, Albert, Stone, Mark, Wadleigh, Laura, Barnes, Katrina, Battaglino, Peter, Bohdanowicz, Thomas C., Booth, Graham, Brown, Andrew, Brown, Mark O., Cassella, Kayleigh, Coxe, Robin, Epstein, Jeffrey M., Feldkamp, Max, Griger, Christopher, Halperin, Eli, Heinz, Andre, Hummel, Frederic, Jaffe, Matthew, Jones, Antonia M. W., Kapit, Eliot, Kotru, Krish, Lauigan, Joseph, Li, Ming, Marjanovic, Jan, Megidish, Eli, Meredith, Matthew, Morshead, Ryan, Muniz, Juan A., Narayanaswami, Sandeep, Nishiguchi, Ciro, Paule, Timothy, Pawlak, Kelly A., Pudenz, Kristen L., Pérez, David Rodríguez, Simon, Jon, Smull, Aaron, Stack, Daniel, Urbanek, Miroslav, van de Veerdonk, René J. M., Vendeiro, Zachary, Weverka, Robert T., Wilkason, Thomas, Wu, Tsung-Yao, Xie, Xin, Zalys-Geller, Evan, Zhang, Xiaogang, Bloom, Benjamin J.

Inhaltsangabe: “… atoms. We also implement the Bernstein-Vazirani algorithm with up to 28 logical qubits encoded into 112 …”
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Discovering "Words" in Music: Unsupervised Learning of Compositional Sparse Code for Symbolic Music von Wang, Tianle, Zhang, Sirui, Tong, Xinyi, Yu, Peiyang, Chen, Jishang, Zhao, Liangke, Gao, Xinpu, Zhu, Yves, Ge, Tiezheng, Zheng, Bo, Xu, Duo, Liu, Yang, Jin, Xin, Yu, Feng, Zhu, Songchun

Inhaltsangabe: “… This paper presents an unsupervised machine learning algorithm that identifies recurring patterns …”
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Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States von Creevey, Floyd M., Hassan, Hitham T., McCafferty, James, Hollenberg, Lloyd C. L., Strelchuk, Sergii

Inhaltsangabe: “… As quantum computing hardware advances, the need for algorithms that facilitate the loading …”
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Beyond asymptotic scaling: Comparing functional quantum linear solvers von Lefterovici, Andreea-Iulia, Perk, Michael, Ramacciotti, Debora, Rotundo, Antonio F., Skelton, S. E., Steinbach, Martin

Inhaltsangabe: “… Solving systems of linear equations is a key subroutine in many quantum algorithms. In the last 15 …”
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Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver von Dutt, Arkopal, Chowdhury, Anirban, Temme, Kristan, Krovi, Hari

Inhaltsangabe: “… We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting …”
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BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading von Periyasamy, Maniraman, Hölle, Marc, Wiedmann, Marco, Scherer, Daniel D., Plinge, Axel, Mutschler, Christopher

Inhaltsangabe: “… RL algorithm that utilizes VQC as function approximators within the discrete batch-constraint deep Q …”
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