Optical computers and the speed of light

In summary, the conversation discusses the possibility of slowing down light for use in optical computers. The article mentioned the use of transistors to control the flow of electricity and the question is raised if a similar method could be used to slow down a television signal. However, it is stated that it would be more practical to use a RAM or hard drive for this purpose. The conversation also touches on the challenges of creating an optical memory and the potential for optical RAM in the future. It is mentioned that memory in normal computers involves storing a small amount of charge on a capacitor.
  • #1
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I saw an article http://www.washingtonpost.com/wp-dyn/content/article/2007/01/18/AR2007011801683.html which is talking about how creating a device that slows down light would be necessary to make optical computers.

My question is is there already a way to slow down electricity because according to the article this is what transistors do.

Chipmakers long ago perfected the art of traffic control for electricity, using transistors to halt and release electrons at microscopic gates.

If this is true would it be possible to use some kind of electrical device to slow down a television signal by say 5 minutes, so that you could have two antennas one which was normal and one which was slowed down by 5 minutes, and then you could watch every channel just like with a regular TV except it would all be 5 minutes behind.
 
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  • #2
Note that is says "halt", not "slow down". i.e. they are simply talking about transistor based memories.
There is no need to "slow down" the signal in the antenna (it can be done using a delay line, although a 5 min delay line would be VERY long); it is much better to use a RAM chip or a harddrive. Set-top boxes with HDs (e.g. Tivo) have been around for many years and they can do exactly what you are asking about.

The problem with optical computers is that there is no way to "halt" light for long periods of time, i.e. no one has been able to figure out how to build an "optical memory".
 
  • #3
All-optical buffers are currently a HUGE headache for people working in this field, as yet no one has come close to designing something remotely feasible.

People have been able to make optical memory, however it is of the read-only variety, I believe researchers are tinkering with the idea of erasable holographic memory to create optical RAM.

Claude.
 
  • #4
So how do normal computers buffer?
 
  • #5
Memory is basically storing a small amount of charge on a capcitor.
Because of the high resistance it stays there.
You can use it to switch a transistor on/off to read it
 

Related to Optical computers and the speed of light

1. What is an optical computer and how is it different from traditional computers?

An optical computer uses light, rather than electricity, to perform calculations and process information. This allows for faster processing speeds and greater efficiency compared to traditional computers that use electronic circuits.

2. How does the speed of light impact the performance of optical computers?

The speed of light is incredibly fast, allowing for data to be transmitted and processed at unprecedented speeds in optical computers. This means that tasks can be completed much more quickly compared to traditional computers.

3. Can optical computers achieve speeds faster than the speed of light?

No, optical computers cannot exceed the speed of light. While they do use light to process information, the speed of light is still the limiting factor in terms of data transmission and processing.

4. Are there any limitations to the use of light in computing?

While light offers many advantages in computing, there are some limitations. For example, light can be affected by interference and can be difficult to control at very small scales. Additionally, the technology for building optical computers is still in its early stages and requires further development.

5. How do optical computers impact the future of computing?

Optical computers have the potential to greatly improve the speed and efficiency of computing, making them a promising technology for the future. They could also lead to advancements in fields such as artificial intelligence, data analysis, and quantum computing.

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