Question: Why Quantum Computing Uses 1 & 0?

In summary, quantum computing is based on the use of 0 and 1, and the faster computers it enables are based on using a quantum Turing machine.
  • #1
plutoisacomet
89
0
This question is from a lay person. LoL

Quantum computing and it's associated research seems to be based on quantum superposition etc. 1 & 0
Why has the old 1 & 0 method of computation been carried over to and by Quantum researchers . It would seem that if you want faster and faster computers, one would abandon 1 & 0 and come up with pure form of Quantum computation and data storage/transfer that does not rely on the old standard.

I apologize if I have offended someone by posting this question in this particular forum.
 
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  • #2
In classical computing, 1 and 0 are just the names we give to two, generally arbitrarily defined, states that we allow parts of our system to be in. Generally, these correspond to ranges of voltages; but, in general voltage can vary continuously. So, it's actually possible to have something that's neither a 1 or a 0.

In quantum systems, you actually get states that are fundamentally discrete. Thus, if you have a system with only two discrete states, calling them 1 and 0 is actually better defined than the classical 1 and 0. So, it's not really a matter of standards. It's really just a naming convention for the states of a two-state system.
 
  • #3
...and to add to Parlyne's correct answer...

Certainly there are things in QM that can take on more than two states. But two-state systems are the simplest we can use to construct QM computers, so that's what we pursue now. Maybe after we've mastered powerful QM computers based on two states, we'll start thinking about higher bases.
 
  • #4
Thanks again guys for the timely explanations.
For some strange reason, I visualize data not in a register of 1 or 0 but as a pool of data not in anyone place at a particular time but in any place and instantaneously accessible as one mass of data transferred by light with no conversion to base2 electrical signals necessary. Do I need a shrink? Oh and I am Sorry for the run on sentence.
 
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  • #5
plutoisacomet said:
Thanks again guys for the timely explanations.
For some strange reason, I visualize data not in a register of 1 or 0 but as a pool of data not in anyone place at a particular time but in any place and instantaneously accessible as one mass of data transferred by light with no conversion to base2 electrical signals necessary. Do I need a shrink? Oh and I am Sorry for the run on sentence.

Well, I'm not positive what you are getting at here. I'll ramble a bit in what I hope is the right direction. Please forgive me for stating the parts you already know and consider obvious (sometimes its easier to be a little verbose in this medium at risk of sounding patronizing).

If you're speaking about analog computing vs. digital, certainly QM HAS to be digital. That's what 'quantum' means, of course.

We honestly don't know what "really happens" in QM. QM only let's us predict a classical (non-QM) result so that our very classical brains have something to talk about amongst themselves.

So we don't really know what superposition is, except its classical results. I kind of think of it as non-conservation of energy until the result is observed (decohered, collapsed, whatever you like to call it). So ALL possible processes are performed (because there is unlimited "virtual" energy to use) but observation forces the universe to stop misbehaving and start conserving energy again.
 
  • #6
Quantum Turing machine

Apart from the above replies there is the Turing Machine that is a fundamental machine that uses 0 and 1 to solve any solvable problem (in theory). There is now - thank goodness - a Quantum Turing Machine - that does the same thing but much faster for big calculations. But it still uses 0 and 1 (and a combination of 0 and 1 if you get my meaning :rolleyes:)

I suppose one could also use 0 to 337, but the math would would out the same (or :confused:)
 
  • #7
Wow! Thanks for the additional help guys.

:cool:
 

What is quantum computing?

Quantum computing is a form of computing that utilizes the principles of quantum mechanics to process and store information. Unlike classical computers, which use bits (1s and 0s) to represent and process data, quantum computers use quantum bits (qubits) that can exist in multiple states simultaneously. This allows for much faster and more powerful computation.

Why does quantum computing use 1 and 0?

Similar to classical computers, quantum computers also use 1s and 0s as the basic units of information. However, unlike classical computers where bits can only have one value at a time, qubits can exist in both states simultaneously. This superposition of states is what makes quantum computing so powerful.

How does quantum computing differ from classical computing?

Quantum computing differs from classical computing in its underlying principles and hardware. While classical computers use transistors and logic gates to process and store information, quantum computers use quantum bits and quantum gates. This allows quantum computers to perform certain tasks, such as factoring large numbers, much more efficiently than classical computers.

What are the potential applications of quantum computing?

Quantum computing has the potential to revolutionize a wide range of industries, including finance, drug development, and artificial intelligence. It could also improve encryption and cybersecurity, and lead to the development of new materials and technologies. However, much more research and development is needed before these applications can become a reality.

What are the challenges facing quantum computing?

There are several challenges facing the development and implementation of quantum computing. These include the difficulty of controlling and maintaining the delicate quantum states, the high cost and complexity of building quantum computers, and the need for specialized algorithms and programming languages. Additionally, there are still many unanswered questions about the fundamental principles of quantum mechanics and how they can be applied to computing.

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