Understanding magnetic phases in quantum mechanical systems is one of the essential goals in condensed matter physics, and the advent of prototype quantum simulation hardware has provided new tools for experimentally probing such systems. We report on the experimental realization of a quantum simulation of interacting Ising spins on three-dimensional cubic lattices up to dimensions 8 x 8 x 8 on a D-Wave processor (D-Wave Systems, Burnaby, Canada). The ability to control and read out the state of individual spins provides direct access to several order parameters, which we used to determine the lattice’s magnetic phases as well as critical disorder and one of its universal exponents. By tuning the degree of disorder and effective transverse magnetic field, we observed phase transitions between a paramagnetic, an antiferromagnetic, and a spin-glass phase.
XianBin Li
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Phase transitions in a programmable quantum spin glass simulator
Call for Papers for a Special Issue of IEEE Transactions on Electron Devices on 2D Materials for Electronic, Optoelectronic and Sensor Devices
IBM scientists demonstrate in-memory computing with 1 million ... - Phys.Org
IBM scientists demonstrate in-memory computing with 1 million ... Phys.Org "In-memory computing" or "computational memory" is an emerging concept that uses the physical properties of memory devices for both storing and processing ... and more » |
IBM in memory computing with 1 million phase change memory devices is 200 times faster than regular computing - Next Big Future
Next Big Future |
IBM in memory computing with 1 million phase change memory devices is 200 times faster than regular computing Next Big Future Today, IBM Research is announcing that its scientists have demonstrated that an unsupervised machine-learning algorithm, running on one million phase change memory (PCM) devices, successfully found temporal correlations in unknown data streams. When ... IBM Demos In-Memory Massively Parallel ComputingEE Times all 2 news articles » |
The non-coding RNA BC1 regulates experience-dependent structural plasticity and learning
The non-coding RNA BC1 regulates experience-dependent structural plasticity and learning
Nature Communications, Published online: 17 August 2017; doi:10.1038/s41467-017-00311-2
Brain cytoplasmic (BC1) RNA is a non-coding RNA that has been implicated in translational regulation, seizure, and anxiety. Here, the authors show that in the cortex, BC1 RNA is required for sensory deprivation-induced structural plasticity of dendritic spines, as well as for correct sensory learning and social behaviors.
Two-Dimensional MoS2-Graphene-Based Multilayer van der Waals Heterostructures: Enhanced Charge Transfer and Optical Absorption, and Electric-Field Tunable Dirac Point and Band Gap
Time-Local Equation for the Exact Optimized Effective Potential in Time-Dependent Density Functional Theory
Author(s): Sheng-Lun Liao, Tak-San Ho, Herschel Rabitz, and Shih-I Chu
A long-standing challenge in the time-dependent density functional theory is to efficiently solve the exact time-dependent optimized effective potential (TDOEP) integral equation derived from orbital-dependent functionals, especially for the study of nonadiabatic dynamics in time-dependent external ...
[Phys. Rev. Lett. 118, 243001] Published Fri Jun 16, 2017
Why Are Polar Surfaces of ZnO Stable?
How 3D XPoint Phase-Change Memory Works - PC Perspective
PC Perspective |
How 3D XPoint Phase-Change Memory Works PC Perspective I've seen a bit of flawed logic floating around related to discussions about 3D XPoint technology. Some are directly comparing the cost per die to NAND flash (you can't - 3D XPoint likely has fewer fab steps than NAND - especially when compared with 3D ... |

