An Ising Hamiltonian solver based on coupled stochastic phase-transition nano-oscillators
Combinatorial optimization problems belong to the non-deterministic polynomial time (NP)-
hard complexity class, and their computational requirements scale exponentially with …
hard complexity class, and their computational requirements scale exponentially with …
Experimental demonstration of phase transition nano-oscillator based Ising machine
Finding the ground state of an Ising model maps to certain classes of combinatorial
optimization problems. Currently, several physical systems, called Ising machines, are being …
optimization problems. Currently, several physical systems, called Ising machines, are being …
Oscillator-based Ising machine
T Wang, J Roychowdhury - arXiv preprint arXiv:1709.08102, 2017 - arxiv.org
Many combinatorial optimization problems can be mapped to finding the ground states of
the corresponding Ising Hamiltonians. The physical systems that can solve optimization …
the corresponding Ising Hamiltonians. The physical systems that can solve optimization …
Ising machines as hardware solvers of combinatorial optimization problems
Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …
states of the Ising model. The Ising model is of fundamental computational interest because …
[HTML][HTML] Ultrafast Ising Machines using spin torque nano-oscillators
DI Albertsson, M Zahedinejad, A Houshang… - Applied Physics …, 2021 - pubs.aip.org
Combinatorial optimization problems are known for being particularly hard to solve on
traditional von Neumann architectures. This has led to the development of Ising Machines …
traditional von Neumann architectures. This has led to the development of Ising Machines …
[HTML][HTML] A 16-bit coherent Ising machine for one-dimensional ring and cubic graph problems
Many tasks in our modern life, such as planning an efficient travel, image processing and
optimizing integrated circuit design, are modeled as complex combinatorial optimization …
optimizing integrated circuit design, are modeled as complex combinatorial optimization …
Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
To tackle important combinatorial optimization problems, a variety of annealing-inspired
computing accelerators, based on several different technology platforms, have been …
computing accelerators, based on several different technology platforms, have been …
A 1,968-node coupled ring oscillator circuit for combinatorial optimization problem solving
Computational architectures that are optimized to solve non-deterministic polynomial-time
hard or complete problems are of use in the development of machine learning, logistical …
hard or complete problems are of use in the development of machine learning, logistical …
Network of time-multiplexed optical parametric oscillators as a coherent Ising machine
Finding the ground states of the Ising Hamiltonian maps to various combinatorial
optimization problems in biology, medicine, wireless communications, artificial intelligence …
optimization problems in biology, medicine, wireless communications, artificial intelligence …
[HTML][HTML] Analog coupled oscillator based weighted Ising machine
We report on an analog computing system with coupled non-linear oscillators which is
capable of solving complex combinatorial optimization problems using the weighted Ising …
capable of solving complex combinatorial optimization problems using the weighted Ising …