scholarly journals Complete description of fault-tolerant quantum gate operations for topological Majorana qubit systems

2022 ◽  
Vol 105 (1) ◽  
Author(s):  
Adrian D. Scheppe ◽  
Michael V. Pak
Keyword(s):  
2012 ◽  
Vol 109 (6) ◽  
Author(s):  
Jerry M. Chow ◽  
Jay M. Gambetta ◽  
A. D. Córcoles ◽  
Seth T. Merkel ◽  
John A. Smolin ◽  
...  

2017 ◽  
Vol 17 (9&10) ◽  
pp. 721-746
Author(s):  
Francisco Delgado

Quantum information and quantum computation are emerging research areas based on the properties of quantum resources, such as superposition and entanglement. In the quantum gate array version, the use of convenient and proper gates is essential. While these gates adopt theoretically convenient forms to reproduce computational algorithms, their design and feasibility depend on specific quantum systems and physical resources used in their setup. These gates should be based on systems driven by physical interactions ruled by a quantum Hamiltonian. Then, the gate design is restricted to the properties and the limitations imposed by the interactions and the physical elements involved. This work shows how anisotropic Heisenberg-Ising interactions, written in a non-local basis, allow the reproduction of quantum computer operations based on unitary processes. We show that gates can be generated by a pulse sequence of driven magnetic fields. This fact states alternative techniques in quantum gate design for magnetic systems. A brief final discussion around associated fault tolerant extensions to the current work is included.


2006 ◽  
Vol 6 (1) ◽  
pp. 81-95
Author(s):  
C.M. Dawson ◽  
M.A. Nielsen

This pedagogical review presents the proof of the Solovay-Kitaev theorem in the form of an efficient classical algorithm for compiling an arbitrary single-qubit gate into a sequence of gates from a fixed and finite set. The algorithm can be used, for example, to compile Shor's algorithm, which uses rotations of $\pi / 2^k$, into an efficient fault-tolerant form using only Hadamard, controlled-{\sc not}, and $\pi / 8$ gates. The algorithm runs in $O(\log^{2.71}(1/\epsilon))$ time, and produces as output a sequence of $O(\log^{3.97}(1/\epsilon))$ quantum gates which is guaranteed to approximate the desired quantum gate to an accuracy within $\epsilon > 0$. We also explain how the algorithm can be generalized to apply to multi-qubit gates and to gates from SU(d).


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