Related Experiment Video
Updated: Apr 9, 2026
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
1.2K
Quantum coherence in neuromorphic computing
Yuanheng Wang1, Kai Li1, Gregory D Scholes1
1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.
The Journal of Chemical Physics
|April 8, 2026
Summary
Quantum coherence in neuromorphic computing affects network perception. This quantum effect, driven by interference, is more prominent in deeper networks but can be managed by adjusting neuron connections.
Area of Science:
- Quantum computing
- Neuromorphic engineering
- Computational neuroscience
Background:
- Hardware computing units are scaling down to nanoscale dimensions, where quantum effects become significant.
- Understanding quantum coherence in neural networks is crucial for reliable neuromorphic hardware performance.
Purpose of the Study:
- To model neuromorphic computing incorporating quantum coherence effects.
- To investigate the impact of quantum coherence on neural network function and perception.
Main Methods:
- Development and utilization of a quantum spiking neural network model.
- Simulation of neural network behavior with and without quantum coherence.
Main Results:
- Quantum coherence between neural activations alters network perception compared to incoherent networks.
- Destructive interference between activation signals at the quantum scale drives this perceptual alteration.
- The prominence of this quantum effect increases with network depth.
Conclusions:
- Quantum coherence is a significant factor influencing neuromorphic network performance at the nanoscale.
- Network depth exacerbates quantum coherence effects.
- Increasing the number of input neurons can mitigate detrimental quantum effects on network perception.
Related Concept Videos
01:19The Role of Ion Channels in Neuronal Computation
4.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.3K
01:25Neural Circuits
3.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.3K
01:28Neuronal Communication
5.3K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
5.3K
01:22Neurons as Communicators of the Brain
5.1K
Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...
Cell Body
The cell body, also known...
5.1K
02:45The Quantum-Mechanical Model of an Atom
61.9K
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.
61.9K
01:23Propagation of Action Potentials
14.9K
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...
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...
14.9K