Role of entanglement in general purpose quantum computing

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SUMMARY

Entanglement is a crucial resource for general purpose quantum computing, enabling quantum computers to solve complex problems significantly faster than classical computers. For instance, with 100 entangled qubits, a quantum computer can find the unique combination of binary inputs in a single phase, while a classical computer would take billions of years to test all combinations. Entanglement is not only essential for running algorithms like Grover's and Shor's but also serves as a resource in quantum teleportation, potentially improving error management in quantum communications.

PREREQUISITES
  • Understanding of quantum mechanics principles
  • Familiarity with qubits and their properties
  • Knowledge of quantum algorithms, specifically Grover's and Shor's algorithms
  • Basic concepts of quantum teleportation and EPR pairs
NEXT STEPS
  • Research the implementation of Grover's algorithm on quantum computers
  • Explore Shor's algorithm and its implications for cryptography
  • Study quantum teleportation and its applications in quantum networking
  • Investigate error detection techniques in quantum communication systems
USEFUL FOR

Quantum computing enthusiasts, researchers in quantum mechanics, and professionals involved in developing quantum algorithms and technologies will benefit from this discussion.

raphampm
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I've been doing a course on Quantum Computing and I haven't managed to figure out so far how entanglement would be a useful resource on a general purpose quantum computer.

By general purpose quantum computer I mean some theoretical device that could possibly replace current classical computers in the future (if at all likely).

So my question probably boils down to how important a role would entanglement play in the substitution of current classical computers by quantum computers in the future?
 
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Entanglement is what gives quantum computers their enormous potential. Without that, they would be a LOT more trouble than they are worth. The quantum computer can find the solution of a problem with many conditions and constraints in one step. (I really should say "phase" instead of "step" because finding the solution actually takes a few steps ... but ignore that for now.) Suppose you need to find the unique combination of 100 binary inputs that will give a desired result. Entanglement would conceivably allow the solution to be found in one (or a small number) step by a quantum computer with 100 entangled qubits. If there is no shortcut algorithm, a traditional computer might need to start testing all 2100 ≈ 1029 combinations one at a time till it found the solution. Even the fastest traditional computer would need billions of years to solve it.

That is the enormous potential of the quantum computer. The problems with getting them to work and solve something are also enormous.
 
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How are you planning to run Grover's algorithm or Shor's algorithm, or any quantum algorithm for that matter, without some of the qubits being entangled along the way? In that sense it's not so much a resource as an unavoidable necessity.

Entanglement does also have uses as a resource, independent of specific algorithms. A good example is quantum teleportation, which has to burn entanglement to work. I wouldn't be surprised if early quantum computers used teleportation as a scaling mechanism. It might even be better, in terms of the number of errors, to not directly send qubits over a noisy quantum channel and instead send EPR pairs which you then use (in combination with the classical internet) for teleportation. Since EPR pairs are interchangeable, you could then use error detection instead of error correction over the quantum channel.
 

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