Download Quantum Computer Science by Marco Lanzagorta PDF

By Marco Lanzagorta

During this textual content we current a technical evaluation of the rising box of quantum computation in addition to new study effects via the authors. What distinguishes our presentation from that of others is our specialize in the connection among quantum computation and computing device technology. in particular, our emphasis is at the computational version of quantum computing instead of at the engineering matters linked to its actual implementation. We undertake this strategy for a similar cause publication on laptop programming does not hide the speculation and actual awareness of semiconductors. one other distinguishing characteristic of this article is our targeted dialogue of the circuit complexity of quantum algorithms. To the level attainable we have now offered the fabric in a sort that's available to the pc scientist, yet in lots of circumstances we maintain the normal physics notation in order that the reader may also be capable of seek advice the correct quantum computing literature. even though we predict the reader to have a superb figuring out of linear algebra, we don't suppose a historical past in physics. this article is predicated on lectures given as brief classes and invited shows world wide, and it's been used because the fundamental textual content for a graduate direction at George Mason collage. In these kind of situations our problem has been an identical: the right way to current to a normal viewers a concise creation to the algorithmic constitution and functions of quantum computing on a really brief time period. The suggestions from those classes and shows has vastly aided in making our exposition of demanding innovations extra obtainable to a common viewers. desk of Contents: creation / The Algorithmic constitution of Quantum Computing / benefits and obstacles of Quantum Computing / Amplitude Amplification / Case research: Computational Geometry / The Quantum Fourier remodel / Case learn: The Hidden Subgroup / Circuit Complexity research of Quantum Algorithms / Conclusions / Bibliography

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The next step is to apply the inversion around the mean operator D. 2 that the mean of the four amplitudes is: mean = − 21 + 1 2 + 4 1 2 + 1 2 = 1 . 75. 0. 25. 0 for all of them. 3. 42 CHAPTER 3. 2: Visualization of the application of the oracle in Grover’s Algorithm for 2 qubits, and “00" as the solution to the search problem. At this point, the amplitude for the state ‘00" has shifted its phase and acquired a minus sign. The probabilities remain the same for all the states. Equivalently, we could have used the operator D: G| = DO00 | ⎛ ⎞⎛ ⎞ 1 −1 −1 −1 −1 ⎟⎜ 1 ⎟ 1 ⎜ −1 1 −1 −1 ⎜ ⎟⎜ ⎟ = − 1 −1 ⎠ ⎝ 1 ⎠ 4 ⎝ −1 −1 −1 −1 −1 1 1 ⎛ ⎞ 1 ⎜ 0 ⎟ ⎟ = ⎜ ⎝ 0 ⎠ .

The same idea remains valid in the quantum domain. The difference is, of course, that a quantum oracle can be applied in parallel to all the possible values of the input described by the quantum register. 11) i=0 in a single computational step. In other words, in the quantum computing model we can perform 2n simultaneous checks to a n-bit oracle. In addition, the requirement that the oracle is a black box function does not mean that the implementation is difficult or unknown. It only means that we can assume that the computational complexity of computing f for some input value x is taken to be O(1).

AMPLITUDE AMPLIFICATION then a measurement applied to the superposition will give a solution with probability a, which means the expected time to find a solution is O(1/a). Indeed, if the probability of measuring a solution is 1/3, then we expect to perform the same procedure about 3 times to extract a solution. Measuring the above superposition of states is essentially a random search algorithm, which will require expected O(1/a) repetitions of the procedure. Let us consider the case where A generates a uniform superposition.

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