Related Experiment Video
Updated: Jan 26, 2026
07:59
Molecular Entanglement and Electrospinnability of Biopolymers
Published on: September 3, 2014
15.1K
Entanglement-inspired frequency-agile rangefinding
Weijie Nie1, Peide Zhang2, Alex McMillan2
1Quantum Engineering Technology Labs, H. H. Wills Physics Laboratory and School of Electrical, Electronic and Mechanical Engineering, University of Bristol, BS8 1FD, Bristol, UK. weijie.nie@bristol.ac.uk.
Nature Communications
|January 24, 2026
Summary
Researchers developed a classical laser source for quantum-enhanced remote sensing. This energy-time correlated source offers significant noise reduction and improved brightness for practical applications.
Area of Science:
- Quantum mechanics
- Optical sensing
- Applied physics
Background:
- Quantum entanglement provides non-classical correlations for noise resistance.
- Energy-time entanglement offers advantages in quantum illumination.
- Existing quantum sources face brightness limitations for practical applications.
Purpose of the Study:
- To develop a practical energy-time correlated source for remote sensing.
- To overcome the quantum brightness limitation in quantum illumination.
- To demonstrate noise reduction and high precision in rangefinding.
Main Methods:
- Utilized a classical laser source.
- Implemented fiber chromatic dispersion and electro-optic modulation for a frequency-agile pseudo-random source.
- Employed energy-time correlations inspired by quantum entanglement.
Main Results:
- Achieved quantum brightness exceeding classical limits by six orders of magnitude.
- Demonstrated precise distance measurement (<0.1 mm) over 154.8 m with low power (48 μW).
- Verified noise reduction under varying solar background and weather conditions within 100 ms integration time.
Conclusions:
- The developed source is suitable for practical remote sensing applications.
- The system offers advantages over traditional quantum illumination-based rangefinding.
- Highlights the potential of classical laser sources for quantum-enhanced sensing.
Related Concept Videos
01:30Mechanism of Breathing I: Inspiration
3.1K
Introduction to Inspiration: The Respiratory System in Action
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
The respiratory system, an essential network for breathing, comprises the conducting and respiratory zones, each playing a crucial role in the overall process of respiration. Let us explore the detailed mechanism of inspiration, or inhalation, which is the first phase of the respiratory cycle.
Pathway of Air during Inspiration
During inspiration, air enters our body through the nose or mouth and moves through the conducting zone,...
3.1K
01:21Frequency-dependent Selection
23.3K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
23.3K
00:51What is a Frequency Distribution
26.2K
A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
26.2K
01:11Mean From a Frequency Distribution
21.6K
Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution.
When such a data set is encountered,...
When such a data set is encountered,...
21.6K
01:24Frequency Response of BJT
1.4K
The frequency response of a Bipolar Junction Transistor (BJT) in a common-emitter configuration is critical to its functionality, especially in applications involving amplification of alternating current (AC) signals. This response can be analyzed through low-frequency and high-frequency equivalent circuits, considering various internal parameters and external conditions.
Low-Frequency Response: At low frequencies, the behavior of the BJT is determined by its DC bias point, which is set by the...
Low-Frequency Response: At low frequencies, the behavior of the BJT is determined by its DC bias point, which is set by the...
1.4K
01:28Load-frequency control
651
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
651