Results 71 to 80 of about 2,342 (247)
PERIODIC BEHAVIORS OF QUANTUM CELLULAR AUTOMATA
In this paper we investigate quantum cellular automata whose global transitions are defined using a global transition function of classical cellular automata.
Mizoguchi, Yoshihiro +6 more
core
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Can Quantum Mechanics Be Reconciled with Cellular Automata?
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
On One-Dimensional Quantum Cellular Automata
Since Richard Feynman introduced the notion of quantum computation in 1982, various models of "quantum computers" have been proposed. These models include quantum Turing machines and quantum circuits.
John Watrous
core
Array‐Level Characterization of Cryogenic RRAM
This paper reports the first array‐level comprehensive electrical characterization of a 1024‐device HfO2‐based RRAM array from 300, 77 to 4 K, covering forming, set/reset switching, endurance, retention, relaxation, and read disturb. The results manifest the high performance of RRAM array at cryogenic temperatures and huge application potential for ...
Yuyao Lu +7 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Router design for nano-communication using actin quantum cellular automata. [PDF]
Das B, De D.
europepmc +1 more source
Periodic Behaviors of Quantum Cellular Automata
Kyushu University 21st Century COE Program Development of Dynamic Mathematics with High Functionality九州大学21世紀COEプログラム「機能数理学の構築と展開」In this paper we investigate quantum cellular automata whose global transitions are defined using a global transition ...
Mizoguchi, Yoshihiro +6 more
core

