Related Experiment Videos
Fidelity freeze for a random matrix model with off-diagonal perturbation
1Fachbereich Physik der Philipps-Universität Marburg, Renthof 5, D-35032 Marburg, Germany. stoeckmann@physik.uni-marburg.de
Summary
Quantum system stability, measured by fidelity, is surprisingly robust against perturbations. This quantum fidelity freeze, even under strong perturbations, has implications for building stable quantum computers.
Area of Science:
- Quantum mechanics
- Quantum information theory
- Condensed matter physics
Background:
- Fidelity quantifies quantum system stability against perturbations.
- Linear-response theory showed fidelity decay freezes for specific perturbations (Prosen & Znidaric).
Purpose of the Study:
- Extend Prosen and Znidaric's findings to arbitrary perturbation strengths.
- Investigate fidelity freeze using supersymmetry calculations.
Main Methods:
- Supersymmetry calculations.
- Analysis of a quantum system with a Gaussian orthogonal ensemble Hamiltonian.
- Inclusion of a purely imaginary antisymmetric perturbation.
Main Results:
- The fidelity freeze is only slightly reduced compared to the linear-response approximation, even for strong perturbations.
- Exact calculations confirm the robustness of fidelity decay freeze.
Conclusions:
- Quantum system fidelity exhibits remarkable stability against perturbations.
- The findings suggest potential for designing more stable quantum computers.
Related Concept Videos
Propagation of Uncertainty from Random Error
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...
Random and Systematic Errors
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
Random and Systematic Errors
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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...
Stability of Equilibrium Configuration
Understanding the stability of equilibrium configurations is a fundamental part of mechanical engineering. In any system, there are three distinct types of equilibrium: stable, neutral, and unstable.
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
Quadratic Models
Quadratic models are mathematical representations used to describe relationships in which the rate of change changes at a constant rate. These models appear in a wide variety of natural and engineered systems, especially those involving motion, forces, and optimization. One common application is analyzing the vertical motion of objects influenced by gravity, such as a ball thrown into the air.In such scenarios, the object's height changes over time in a curved pattern, rising to a maximum point...