Related Experiment Video
Updated: Jun 25, 2026

11:00
Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
Published on: July 19, 2016
Creating order from random fluctuations in small spin ensembles
R Budakian1, H J Mamin, B W Chui
1IBM Research Division, Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA. budakian@us.ibm.com
Summary
Researchers harnessed statistical spin fluctuations to create spin order using a magnetic resonance force microscope. This spin order can be stored for 30 seconds and then read out.
Area of Science:
- Physics
- Quantum Mechanics
- Materials Science
Background:
- Statistical fluctuations in electron spins are inherent in small ensembles.
- Controlling and utilizing these fluctuations for ordered spin states is challenging.
Purpose of the Study:
- To demonstrate methods for creating and controlling spin order from natural spin fluctuations.
- To investigate the storage and readout capabilities of the created spin order.
Main Methods:
- Utilized a magnetic resonance force microscope (MRFM) to interact with electron spins.
- Employed two distinct techniques: selective capture of transient spin order and real-time feedback rectification of spin fluctuations.
Main Results:
- Successfully created spin order by harnessing statistical fluctuations in electron spin ensembles.
- Demonstrated two novel methods for spin hyperpolarization and fluctuation rectification.
- Achieved storage of the created spin order for approximately 30 seconds (longitudinal relaxation time).
Conclusions:
- Spin order can be actively generated and controlled from inherent statistical spin fluctuations.
- The developed methods offer new pathways for manipulating spin states at the nanoscale.
- The ability to store and read out spin order has implications for quantum information processing and sensing.
Related Concept Videos
Propagation of Waves
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Random Sampling Method
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
Random Variables
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Randomized Experiments
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
Basic Discrete Time Signals
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
Sequence Networks of Rotating Machines
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

