12 Facts About Quantum computation

1.

Quantum computation computing began in 1980 when physicist Paul Benioff proposed a quantum mechanical model of the Turing machine.

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2.

On 23 October 2019, Google AI, in partnership with the U S National Aeronautics and Space Administration, claimed to have performed a quantum computation that was infeasible on any classical computer, but whether this claim was or is still valid is a topic of active research.

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3.

One important gate for both classical and quantum computation is the NOT gate, which can be represented by a matrix X := .

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4.

In summary, a quantum computation can be described as a network of quantum logic gates and measurements.

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5.

Any quantum computation can be represented as a network of quantum logic gates from a fairly small family of gates.

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6.

Notable application of quantum computation is for attacks on cryptographic systems that are currently in use.

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7.

Quantum computation-based cryptographic systems could, therefore, be more secure than traditional systems against quantum hacking.

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8.

Quantum annealing or Adiabatic quantum computation relies on the adiabatic theorem to undertake calculations.

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9.

Since quantum computers can produce outputs that classical computers cannot produce efficiently, and since quantum computation is fundamentally linear algebraic, some express hope in developing quantum algorithms that can speed up machine learning tasks.

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10.

Quantum computation supremacy is a term coined by John Preskill referring to the engineering feat of demonstrating that a programmable quantum device can solve a problem beyond the capabilities of state-of-the-art classical computers.

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11.

Quantum computation Turing machine is theoretically important but the physical implementation of this model is not feasible.

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12.

However, defining Quantum computation in these theories is an open problem due to the problem of time; that is, within these physical theories there is currently no obvious way to describe what it means for an observer to submit input to a computer at one point in time and then receive output at a later point in time.

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