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Random Variables01:09

Random Variables

13.4K
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...
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
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State Space Representation01:27

State Space Representation

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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
289
First Law: Particles in One-dimensional Equilibrium01:10

First Law: Particles in One-dimensional Equilibrium

7.1K
Newton's first law of motion states that a body at rest remains at rest, or if in motion, remains in motion at constant velocity, unless acted on by a net external force. It also states that there must be a cause for any change in velocity (a change in either magnitude or direction) to occur. This cause is a net external force. For example, consider what happens to an object sliding along a rough horizontal surface. The object quickly grinds to a halt, due to the net force of friction. If...
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Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Related Experiment Video

Updated: Sep 14, 2025

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

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Pseudochaotic many-body dynamics as a pseudorandom state generator.

Wonjun Lee1,2, Hyukjoon Kwon3, Gil Young Cho4,5,6

  • 1Department of Physics, Pohang University of Science and Technology, Pohang, South Korea. wonjun1998@postech.ac.kr.

Nature Communications
|July 23, 2025
PubMed
Summary

Researchers discovered pseudochaotic dynamics, a new quantum behavior computationally indistinguishable from quantum chaos. This offers efficient methods for creating pseudorandom quantum states essential for quantum information processing.

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Related Experiment Videos

Last Updated: Sep 14, 2025

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Area of Science:

  • Quantum Information Science
  • Quantum Many-Body Dynamics
  • Quantum Chaos Theory

Background:

  • Quantum chaos is vital for understanding quantum dynamics and generating random quantum states for quantum information tasks.
  • Existing methods for detecting quantum chaos, like out-of-time-ordered correlators, cannot distinguish pseudochaotic dynamics from true chaos.
  • Haar-random states are a crucial resource in quantum information, but generating them efficiently remains a challenge.

Purpose of the Study:

  • Introduce a novel class of quantum many-body dynamics, termed pseudochaotic dynamics.
  • Demonstrate that pseudochaotic dynamics can generate pseudorandom states computationally indistinguishable from Haar-random states.
  • Establish efficient methods for creating pseudorandom states using pseudochaotic dynamics.

Main Methods:

  • Constructed pseudochaotic dynamics by embedding a smaller k-qubit subsystem within a larger n-qubit system.
  • Showed that a subsystem size of k = ω(log n) is sufficient to induce pseudochaotic behavior in the n-qubit system.
  • Designed a quantum circuit exhibiting pseudochaotic dynamics with polylog(n) depth.

Main Results:

  • Pseudochaotic dynamics were identified as a new class of quantum dynamics.
  • Out-of-time-ordered correlators were found unable to distinguish pseudochaotic dynamics from genuine quantum chaos.
  • The developed quantum circuit efficiently generates pseudorandom states.
  • A subsystem size of k = ω(log n) was shown to be sufficient for pseudochaotic behavior.

Conclusions:

  • Pseudochaotic dynamics offer a computationally indistinguishable alternative to genuine quantum chaos.
  • This discovery provides efficient routes for generating pseudorandom quantum states.
  • The findings advance the understanding of quantum dynamics and resource generation for quantum information processing.