Journal
PHYSICAL REVIEW APPLIED
Volume 6, Issue 5, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevApplied.6.054005
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Funding
- NSERC
- Alberta Innovates
- MITACS
- University of Calgary's Eyes High Program
- ONR [N00014-15-1-0029]
- NSF [PHY-1104660]
- China's 1000 Talent Plan
- Institute for Quantum Information and Matter
- National Science Foundation Physics Frontiers Center (NSF Grant) [PHY-1125565]
- Gordon and Betty Moore Foundation [GBMF-2644]
- WestGrid
- Compute Canada Calcul Canada
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Three-qubit quantum gates are key ingredients for quantum error correction and quantum-information processing. We generate quantum-control procedures to design three types of three-qubit gates, namely Toffoli, controlled-NOT-NOT, and Fredkin gates. The design procedures are applicable to a system comprising three nearest-neighbor-coupled superconducting artificial atoms. For each three-qubit gate, the numerical simulation of the proposed scheme achieves 99.9% fidelity, which is an accepted threshold fidelity for fault-tolerant quantum computing. We test our procedure in the presence of decoherence-induced noise and show its robustness against random external noise generated by the control electronics. The three-qubit gates are designed via the machine-learning algorithm called subspace-selective self-adaptive differential evolution.
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