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Quantum computing algorithm From Wikipedia, the free encyclopedia
Magic state distillation is a method for creating more accurate quantum states from multiple noisy ones, which is important[1] for building fault tolerant quantum computers. It has also been linked[2] to quantum contextuality, a concept thought to contribute to quantum computers' power.[3]
The technique was first proposed by Emanuel Knill in 2004,[4] and further analyzed by Sergey Bravyi and Alexei Kitaev the same year.[5]
Thanks to the Gottesman–Knill theorem, it is known that some quantum operations (operations in the Clifford group) can be perfectly simulated in polynomial time on a classical computer. In order to achieve universal quantum computation, a quantum computer must be able to perform operations outside this set. Magic state distillation achieves this, in principle, by concentrating the usefulness of imperfect resources, represented by mixed states, into states that are conducive for performing operations that are difficult to simulate classically.
A variety of qubit magic state distillation routines[6][7] and distillation routines for qubits[8][9][10] with various advantages have been proposed.
The Clifford group consists of a set of -qubit operations generated by the gates {H, S, CNOT} (where H is Hadamard and S is ) called Clifford gates. The Clifford group generates stabilizer states which can be efficiently simulated classically, as shown by the Gottesman–Knill theorem. This set of gates with a non-Clifford operation is universal for quantum computation.[5]
Magic states are purified from copies of a mixed state .[6] These states are typically provided via an ancilla to the circuit. A magic state for the rotation operator is where . A non-Clifford gate can be generated by combining (copies of) magic states with Clifford gates.[5] Since a set of Clifford gates combined with a non-Clifford gate is universal for quantum computation, magic states combined with Clifford gates are also universal.
The first magic state distillation algorithm, invented by Sergey Bravyi and Alexei Kitaev, is as follows.[5]
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