Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Free Energy Changes for Nonstandard States03:25

Free Energy Changes for Nonstandard States

11.4K
The free energy change for a process taking place with reactants and products present under nonstandard conditions (pressures other than 1 bar; concentrations other than 1 M) is related to the standard free energy change according to this equation:
 
where R is the gas constant (8.314 J/K·mol), T is the absolute temperature in kelvin, and Q is the reaction quotient. This equation may be used to predict the spontaneity of a process under any given set of conditions.
Reaction Quotient...
11.4K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.5K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.5K
State Space Representation01:27

State Space Representation

209
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...
209
State Space to Transfer Function01:21

State Space to Transfer Function

208
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
208
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

691
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...
691
Bulk Modulus01:21

Bulk Modulus

311
The bulk modulus is a scientific term used to describe a material's resistance to uniform compression. It is the proportionality constant that links a change in pressure to the resulting relative volume change.
311

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Creating high-precision reference gas standards of <sup>85</sup>Kr for groundwater age dating.

Journal of environmental radioactivity·2026
Same author

Association of Serum Uric Acid With Cardiovascular-Kidney-Metabolic Risk in a Rural Indian Population.

JACC. Asia·2026
Same author

Response to: Reperfusion in STEMI in low- and middle-income countries: setting priorities, not lowering standards-by García-Zamora and colleagues.

European heart journal. Acute cardiovascular care·2026
Same author

An interdisciplinary approach to investigating an invasive insect pest: tracking, phenology, and genetics of the Queensland longhorn beetle, Acalolepta aesthetica (Cerambycidae: Lamiinae).

Journal of insect science (Online)·2026
Same author

Characterising the failure mechanisms of error-corrected quantum logic gates.

Nature communications·2026
Same author

Comparative analysis of <math><mrow><msub><mrow><mover><mi>V</mi> <mo>Ë™</mo></mover> <mi>O</mi></mrow> <mn>2</mn></msub></mrow></math> prediction equations using a novel web-based application: an illustrative example in formerly deployed military veterans.

Frontiers in physiology·2026
Same journal

Family of magnetic field-boosted superconductors in rhombohedral graphene.

Nature·2026
Same journal

What's the human cost of US research turmoil? A new film finds out.

Nature·2026
Same journal

Daily briefing: Ovaries start a second job after menopause.

Nature·2026
Same journal

Audio long read: Is the peptide craze backed by science? The promise behind the hype.

Nature·2026
Same journal

Scientists fight back against far-right plans to restrict academic freedom in Germany.

Nature·2026
Same journal

How AI can crack open the 'hidden curriculum' for neurodivergent students.

Nature·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 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

14.5K

Encoding a magic state with beyond break-even fidelity.

Riddhi S Gupta1,2, Neereja Sundaresan1, Thomas Alexander1

  • 1IBM Quantum, T. J. Watson Research Center, Yorktown Heights, NY, USA.

Nature
|January 10, 2024
PubMed
Summary
This summary is machine-generated.

Researchers developed a quantum error correction scheme to create high-fidelity magic states, crucial for quantum computing. This method improves logic gate quality using noisy qubits, paving the way for more efficient quantum algorithms.

More Related Videos

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.0K

Related Experiment Videos

Last Updated: Jul 6, 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

14.5K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.1K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.0K

Area of Science:

  • Quantum Computing
  • Quantum Error Correction

Background:

  • Quantum computers require error-correcting codes to perform logic gates and protect information from noise.
  • Magic states are essential resources for completing universal sets of logic gates in quantum computation.
  • High-fidelity magic state preparation is critical for minimizing noise in quantum algorithms.

Purpose of the Study:

  • To propose and implement a novel scheme for preparing magic states using quantum error correction on a superconducting qubit array.
  • To demonstrate that error correction can enhance the quality of logic gates produced by noisy qubits.
  • To showcase the utility of adaptive circuits in increasing magic state yield for quantum error correction.

Main Methods:

  • Implementation of a quantum error correction scheme on a superconducting qubit array.
  • Preparation of magic states utilizing the proposed error correction technique.
  • Application of adaptive circuits with mid-circuit measurements to optimize magic state production.

Main Results:

  • The implemented scheme successfully produced higher-fidelity magic states compared to those prepared using individual qubits.
  • The use of error correction demonstrated the principle of improving logic gate quality with noisy qubits.
  • Adaptive circuits were shown to increase the yield of magic states, a key capability for error correction subroutines.

Conclusions:

  • The developed scheme provides a method for generating high-fidelity magic states essential for fault-tolerant quantum computing.
  • This work validates the fundamental principle that quantum error correction can improve the performance of noisy qubits.
  • The prototype's ability to reduce the physical qubit overhead for magic state production is significant for future large-scale quantum computing architectures.