Results 1 to 10 of about 1,742,725 (265)

Quantum processor-inspired machine learning in the biomedical sciences

Patterns, 2021
Summary: Recent advances in high-throughput genomic technologies coupled with exponential increases in computer processing and memory have allowed us to interrogate the complex molecular underpinnings of human disease from a genome-wide perspective ...
Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden   +7 more
doaj   +1 more source

Trip Planning Based on subQUBO Annealing

IEEE Access, 2023
The trip planning problem (TPP) can be formulated as a combinatorial optimization problem that searches for the best route to visit a series of landmarks and hotels.
Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa   +3 more
doaj   +1 more source

QUBO Simplification by Singular Value Decomposition and Coefficient Elimination for Ising Machines

IEEE Access
Ising machines, including quantum annealing machines, can efficiently solve combinatorial optimization problems by formulating them as Quadratic Unconstrained Binary Optimization (QUBO). However, it is known that the solving performance of Ising machines
Shinnosuke Inaba, Takeru Ota, Nozomu Togawa   +2 more
doaj   +1 more source

Heuristic recurrent algorithms for photonic Ising machines [PDF]

Nature Communications, 2020
AbstractThe inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort toward developing application-specific hardware across many different fields of engineering, such as integrated circuits, memristors, and photonics ...
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubček, Chenkai Mao, Miles R. Johnson, Vladimir Čeperić, John D. Joannopoulos, Dirk Englund, Marin Soljačić   +12 more
openaire   +7 more sources

Geometric Theory of Ising Machines

CoRR
We contribute to the mathematical theory of the design of low temperature Ising machines, a type of experimental probabilistic computing device implementing the Ising model. Encoding the output of a function in the ground state of a physical system allows efficient and distributed computation, but the design of the energy function is a difficult puzzle.
Andrew G. Moore, Zachary Richey, Isaac K. Martin   +2 more
openaire   +2 more sources

Applying Ising Machines to Multi-objective QUBOs

Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Multi-objective optimisation problems involve finding solutions with varying trade-offs between multiple and often conflicting objectives. Ising machines are physical devices that aim to find the absolute or approximate ground states of an Ising model.
Mayowa Ayodele, Richard Allmendinger 0001, Manuel López-Ibáñez 0001, Arnaud Liefooghe, Matthieu Parizy   +4 more
openaire   +5 more sources

A GPU-Based Ising Machine With a Multi-Spin-Flip Capability for Constrained Combinatorial Optimization

IEEE Access
Ising machines are domain-specific computers that solve combinatorial optimization problems (COPs). They utilize an Ising model to represent a COP and search for the optimal spin configuration of the Ising model to solve the COP.
Satoru Jimbo, Tatsuhiko Shirai, Nozomu Togawa, Masato Motomura, Kazushi Kawamura   +4 more
doaj   +1 more source

CMOS-compatible ising machines built using bistable latches coupled through ferroelectric transistor arrays

Scientific Reports, 2023
Realizing compact and scalable Ising machines that are compatible with CMOS-process technology is crucial to the effectiveness and practicality of using such hardware platforms for accelerating computationally intractable problems.
Antik Mallick, Zijian Zhao, Mohammad Khairul Bashar, Shamiul Alam, Md Mazharul Islam, Yi Xiao, Yixin Xu, Ahmedullah Aziz, Vijaykrishnan Narayanan, Kai Ni, Nikhil Shukla   +10 more
doaj   +1 more source

Demonstration of an energy-efficient Ising solver composed of Ovonic threshold switch (OTS)-based nano-oscillators (OTSNOs)

Nano Convergence
As there is an increasing need for an efficient solver of combinatorial optimization problems, much interest is paid to the Ising machine, which is a novel physics-driven computing system composed of coupled oscillators mimicking the dynamics of the ...
Young Woong Lee, Seon Jeong Kim, Jaewook Kim, Sangheon Kim, Jongkil Park, YeonJoo Jeong, Gyu Weon Hwang, Seongsik Park, Bae Ho Park, Suyoun Lee   +9 more
doaj   +1 more source

A note on analyzing the stability of oscillator Ising machines

Electronics Letters, 2023
Abstract The rich non‐linear dynamics of the coupled oscillators (under second harmonic injection) can be leveraged to solve computationally hard problems in combinatorial optimization such as finding the ground state of the Ising Hamiltonian. While prior work on the stability of the so‐called Oscillator Ising Machines (OIMs) has used
Mohammad Khairul Bashar, Zongli Lin, Nikhil Shukla   +2 more
openaire   +3 more sources