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

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

41.8K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
41.8K
State Space Representation01:27

State Space Representation

160
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...
160
Network Function of a Circuit01:25

Network Function of a Circuit

252
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
252
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

31.6K
Overview of Molecular Orbital Theory
31.6K
Quantum Numbers02:43

Quantum Numbers

34.2K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
34.2K
Propagation of Action Potentials01:23

Propagation of Action Potentials

5.0K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
5.0K

You might also read

Related Articles

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

Sort by
Same author

pH-Dependent Vibrational Dynamics Drives Excited-State Quenching in the Phycobiliprotein Complex PC645.

Journal of the American Chemical Society·2026
Same author

Water-modulated conformational heterogeneity underlies multiple timescales of primary charge separation in photosystem II.

Nature communications·2026
Same author

Maximizing Room-Temperature Red Phosphorescence in Contorted Hexabenzocoronene Derivatives.

Chemistry of materials : a publication of the American Chemical Society·2026
Same author

Operational bounds and diagnostics for coherence in energy transfer.

The Journal of chemical physics·2026
Same author

The Seasons of a Career in Physical Chemistry.

ACS physical chemistry Au·2026
Same author

The Seasons of a Career in Physical Chemistry: Olivia Harper Wilkins.

ACS physical chemistry Au·2026
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: May 24, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

472

Quantumlike Product States Constructed from Classical Networks.

Gregory D Scholes1, Graziano Amati1

  • 1Princeton University, Department of Chemistry, Princeton, New Jersey 08544, USA.

Physical Review Letters
|February 28, 2025
PubMed
Summary
This summary is machine-generated.

Complex classical systems can mimic quantum states. We demonstrate a map between quantum states and classical oscillator networks, enabling quantumlike operations.

More Related Videos

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

14.4K
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

8.9K

Related Experiment Videos

Last Updated: May 24, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

472
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

14.4K
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

8.9K

Area of Science:

  • Quantum Information Science
  • Classical Mechanics
  • Network Theory

Background:

  • Quantum states, particularly superpositions of tensor products, are fundamental to quantum computation.
  • Classical systems typically operate on distinct states, lacking inherent superposition capabilities.

Purpose of the Study:

  • To investigate if complex classical systems can be engineered to emulate quantum states.
  • To establish a connection between quantum state spaces and classical physical systems.

Main Methods:

  • Developing a one-to-one mapping between the product basis of quantum states (qubits) and eigenstates of classical oscillator networks.
  • Utilizing Cartesian products of graphs to represent the structure of these classical oscillator networks.
  • Demonstrating the application of quantumlike gates on classical networks.

Main Results:

  • A concrete one-to-one correspondence is established between multi-qubit product states and eigenstates of specific classical oscillator networks.
  • The proposed classical network construction effectively mimics the tensor product structure of quantum states.
  • Quantumlike gate operations are shown to be feasible within the classical network framework.

Conclusions:

  • Complex classical systems, specifically designed oscillator networks, can indeed exhibit behaviors analogous to quantum superpositions.
  • This work provides a pathway for simulating quantum phenomena using classical physics and network architectures.
  • The findings open possibilities for novel approaches in quantum simulation and computation.