Risultati della ricerca - encoding (algorithm OR algorithmics)

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

Sommario: “...-inspired algorithms combining quantum properties and annealing show great advantages in solving...”
Testo

A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes di Carlet, Claude, Ðurasevic, Marko, Jakobovic, Domagoj, Picek, Stjepan, Mariot, Luca

Sommario: “... years, evolutionary algorithms have been shown to be a strong option for evolving Boolean functions...”
Testo

Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer di Masui, Kento, Otani, Mayu, Nomura, Masahiro, Nakayama, Hideki

Sommario: “... transfer algorithm, Style Tracking Reverse Diffusion Process (STRDP) for a pretrained Latent Diffusion...”
Testo

Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks di de Luca, Artur Back, Giapitzakis, George, Fountoulakis, Kimon

Sommario: “... networks. In this work, we ask: can neural networks learn to execute binary-encoded algorithmic...”
Testo

Efficient Simulation of Pre-Born-Oppenheimer Dynamics on a Quantum Computer di Pocrnic, Matthew, Loaiza, Ignacio, Arrazola, Juan Miguel, Wiebe, Nathan, Motlagh, Danial

Sommario: “...In this work, we present a quantum algorithm for direct first-principles simulation of electron...”
Testo

Efficient Plug-and-Play method for Dynamic Imaging Via Kalman Smoothing di Hawkes, Benjamin, Davies, Mike, Elvira, Victor, Repetti, Audrey

Sommario: “...-and-Play (PnP) methods are a popular type of iterative algorithms that replace proximal operators encoding...”
Testo

Curriculum reinforcement learning for quantum architecture search under hardware errors di Patel, Yash J., Kundu, Akash, Ostaszewski, Mateusz, Bonet-Monroig, Xavier, Dunjko, Vedran, Danaci, Onur

Sommario: “... deployment. The algorithm incorporates (i) a 3D architecture encoding and restrictions on environment...”
Testo

Parallel-in-time quantum simulation via Page and Wootters quantum time di Diaz, N. L., Braccia, Paolo, Larocca, Martin, Matera, J. M., Rossignoli, R., Cerezo, M.

Sommario: “...In the past few decades, researchers have created a veritable zoo of quantum algorithms by drawing...”
Testo

Quantum Detection of Sequency-Band Structure di Shukla, Alok, Vedula, Prakash

Sommario: “...We present a quantum algorithm for estimating the amplitude content of user-specified sequency...”
Testo

A Scalable Fully Distributed Quantum Alternating Direction Method of Multipliers for Unit Commitment Problems di Mingyu Yang, Fang Gao, Wei Dai, Dejian Huang, Qing Gao, Feng Shuang

Sommario: “... subproblem 1, this algorithm encodes minimum up/down constraints into a hard constraint form within...”
Testo

Incremental Measurement of Structural Entropy for Dynamic Graphs di Yang, Runze, Peng, Hao, Liu, Chunyang, Li, Angsheng

Sommario: “..., we need to decode the optimal encoding tree corresponding to the best community partitioning for each...”
Testo

Sample as You Infer: Predictive Coding With Langevin Dynamics di Zahid, Umais, Guo, Qinghai, Fountas, Zafeirios

Sommario: “...We present a novel algorithm for parameter learning in generic deep generative models that builds...”
Testo

Optimal Video Compression using Pixel Shift Tracking di Panneerselvam, Hitesh Saai Mananchery, Anand, Smit

Sommario: “...The Video comprises approximately ~85\% of all internet traffic, but video encoding/compression...”
Testo

QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation di Ivashkov, Petr, Huang, Po-Wei, Koor, Kelvin, Pira, Lirandë, Rebentrost, Patrick

Sommario: “...We introduce quantum Kolmogorov-Arnold networks (QKAN), a quantum algorithmic framework inspired...”
Testo

Fault-tolerant quantum computation with a neutral atom processor di 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.

Sommario: “... atoms. We also implement the Bernstein-Vazirani algorithm with up to 28 logical qubits encoded into 112...”
Testo

Discovering "Words" in Music: Unsupervised Learning of Compositional Sparse Code for Symbolic Music di 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

Sommario: “...This paper presents an unsupervised machine learning algorithm that identifies recurring patterns...”
Testo

Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States di Creevey, Floyd M., Hassan, Hitham T., McCafferty, James, Hollenberg, Lloyd C. L., Strelchuk, Sergii

Sommario: “...As quantum computing hardware advances, the need for algorithms that facilitate the loading...”
Testo

Beyond asymptotic scaling: Comparing functional quantum linear solvers di Lefterovici, Andreea-Iulia, Perk, Michael, Ramacciotti, Debora, Rotundo, Antonio F., Skelton, S. E., Steinbach, Martin

Sommario: “...Solving systems of linear equations is a key subroutine in many quantum algorithms. In the last 15...”
Testo

Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver di Dutt, Arkopal, Chowdhury, Anirban, Temme, Kristan, Krovi, Hari

Sommario: “...We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting...”
Testo

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading di Periyasamy, Maniraman, Hölle, Marc, Wiedmann, Marco, Scherer, Daniel D., Plinge, Axel, Mutschler, Christopher

Sommario: “... RL algorithm that utilizes VQC as function approximators within the discrete batch-constraint deep Q...”
Testo