Results 41 to 50 of about 43,164 (298)
Critical Behavior of the Three-Dimensional Ising Spin Glass [PDF]
We have simulated, using parallel tempering, the three dimensional Ising spin glass model with binary couplings in a helicoidal geometry. The largest lattice (L=20) has been studied using a dedicated computer (the SUE machine).
A. Cruz +59 more
core +3 more sources
We demonstrate a spin-wave-based time-multiplexed Ising Machine (SWIM), implemented using a 5 $μ$m thick Yttrium Iron Garnet (YIG) film and off-the-shelf microwave components. The artificial Ising spins consist of 34--68 ns long 3.125 GHz spinwave RF pulses with their phase binarized using a phase-sensitive microwave amplifier.
Litvinenko, Artem +6 more
openaire +2 more sources
Quantum processor-inspired machine learning in the biomedical sciences
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 +7 more
doaj +1 more source
We propose a new design of universal topological quantum computer device through a hybrid of the 1-, 2- and 7-layers of chiral topological superconductor ($\chi$TSC) thin films.
Bin Chen +5 more
core +1 more source
Trip Planning Based on subQUBO Annealing
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 +3 more
doaj +1 more source
CRITICAL DYNAMICS OF THE ISING MODEL WITH ISING MACHINE
The dynamical critical exponent z of he two-dimensional Ising model with sequential-flip heat-bath dynamics is numerically estimated to be 2.2, which agrees with that of Metropolis dynamics. The dedicated machine "m-TIS", designed and constructed by the present authors is used for the simulations.
Ito, N., Taiji, M., Suzuki, M.
openaire +2 more sources
A cautionary tale for machine learning generated configurations in presence of a conserved quantity
We investigate the performance of machine learning algorithms trained exclusively with configurations obtained from importance sampling Monte Carlo simulations of the two-dimensional Ising model with conserved magnetization.
Ahmadreza Azizi, Michel Pleimling
doaj +1 more source
A general learning scheme for classical and quantum Ising machines
An Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this paper, we propose a new machine learning model that is based on the Ising
Ludwig Schmid, Enrico Zardini, Davide Pastorello
doaj +1 more source
Applying Ising Machines to Multi-objective QUBOs
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 +4 more
openaire +4 more sources
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 +10 more
doaj +1 more source

