Optimal simulation of three-qubit gates
Nengkun Yu, Mingsheng Ying

TL;DR
This paper establishes the minimal number of two-qubit gates needed to simulate three-qubit gates, providing exact counts for the controlled controlled and Fredkin gates, advancing quantum circuit optimization.
Contribution
It characterizes the two-qubit gate cost for simulating three-qubit controlled gates and proves the optimality of five gates for the Fredkin gate, resolving longstanding open problems.
Findings
Four two-qubit gates are sufficient for controlled controlled gates with determinant 1.
Five two-qubit gates are necessary and sufficient for implementing the Fredkin gate.
The results settle the optimal gate count for key three-qubit gates in quantum computing.
Abstract
In this paper, we study the optimal simulation of three-qubit unitary by using two-qubit gates. First, we give a lower bound on the two-qubit gates cost of simulating a multi-qubit gate. Secondly, we completely characterize the two-qubit gate cost of simulating a three-qubit controlled controlled gate by generalizing our result on the cost of Toffoli gate. The function of controlled controlled gate is simply a three-qubit controlled unitary gate and can be intuitively explained as follows: the gate will output the states of the two control qubit directly, and apply the given one-qubit unitary on the target qubit only if both the states of the control are . Previously, it is only known that five two-qubit gates is sufficient for implementing such a gate [Sleator and Weinfurter, Phys. Rev. Lett. 74, 4087 (1995)]. Our result shows that if the determinant of is 1, four…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
