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A magic state's fidelity can be superior to the operations that created it
by
Li, Ying
in
Accuracy
/ Distillation
/ Error analysis
/ Fault tolerance
/ fault tolerant quantum computing
/ Gates
/ Hardware
/ magic state
/ Mathematical analysis
/ Physics
/ Quantum computing
/ Qubits (quantum computing)
/ Retarding
/ surface code
/ Tasks
2015
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A magic state's fidelity can be superior to the operations that created it
by
Li, Ying
in
Accuracy
/ Distillation
/ Error analysis
/ Fault tolerance
/ fault tolerant quantum computing
/ Gates
/ Hardware
/ magic state
/ Mathematical analysis
/ Physics
/ Quantum computing
/ Qubits (quantum computing)
/ Retarding
/ surface code
/ Tasks
2015
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Do you wish to request the book?
A magic state's fidelity can be superior to the operations that created it
by
Li, Ying
in
Accuracy
/ Distillation
/ Error analysis
/ Fault tolerance
/ fault tolerant quantum computing
/ Gates
/ Hardware
/ magic state
/ Mathematical analysis
/ Physics
/ Quantum computing
/ Qubits (quantum computing)
/ Retarding
/ surface code
/ Tasks
2015
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A magic state's fidelity can be superior to the operations that created it
Journal Article
A magic state's fidelity can be superior to the operations that created it
2015
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Overview
The leading approach to fault tolerant quantum computing requires a continual supply of magic states. When a new magic state is first encoded, its initial fidelity will be too poor for use in the computation. This necessitates a resource-intensive distillation process that occupies the majority of the computer's hardware; creating magic states with a high initial fidelity minimizes this cost and is therefore crucial for practical quantum computing. Here we present the surprising and encouraging result that raw magic states can have a fidelity significantly better than that of the two-qubit gate operations used to construct them. Our protocol exploits post-selection without significantly slowing the rate of generation and tolerates finite error rates in initializations, measurements and single-qubit gates. This approach may dramatically reduce the size of the hardware needed for a given quantum computing task.
Publisher
IOP Publishing
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