Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine-learning based three-qubit gate for realization of a Toffoli
  gate with cQED-based transmon systems   We use machine learning techniques to design a 50 ns three-qubit flux-tunable
controlled-controlled-phase gate with fidelity of >99.99% for nearest-neighbor
coupled transmons in circuit quantum electrodynamics architectures. We explain
our gate design procedure where we enforce realistic constraints, and analyze
the new gate's robustness under decoherence, distortion, and random noise. Our
controlled-controlled-phase gate in combination with two single-qubit gates
realizes a Toffoli gate which is widely used in quantum circuits, logic
synthesis, quantum error correction, and quantum games.

30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th