Optimal control of nanomechanical quantum memory coupled to superconducting qubit

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Abstract/Contents

Abstract: Quantum memory coupled to a single non-linear element such as superconducting qubit can serve as a promising quantum information processing platform with advantages in lifetime and hardware-efficiency. However, naïve implementation of this quantum computing architecture requires two additional SWAP gates between the memory resonator and the processing qubit per each gate operation, which causes longer gate time and larger error. In this work we implement a power- and bandwidth-limited pulse optimization method on the hybrid system of nanomechanical resonators coupled to transmon qubit. We find the optimal pulse for generating entangled state of mechanical resonators as well as implementing phonon-phonon CNOT gate. We verify the pulse's robustness to experimental imperfections, such as decoherence, pulse distortion, and parasitic mechanical modes. Finally, we perform optimal control on more than two resonators and evaluate the prospects of achieving a scalable quantum computing architecture.

Type of resource	text
Date created	May 2020

Author	Kang, Mingyu
Degree granting institution	Stanford University, Department of Physics
Primary advisor	Safavi-Naeini, Amir
Advisor	Hayden, Patrick

Subject	Stanford LINQS
Subject	optimal control
Subject	nanomechanical quantum memory
Subject	superconducting qubit
Subject	GRAPE
Subject	quantum computing
Genre	Thesis

Location	https://purl.stanford.edu/rt644py0257

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License: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Preferred Citation: Kang, Mingyu. (2020). Optimal control of nanomechanical quantum memory coupled to superconducting qubit. Stanford Digital Repository. Available at: https://purl.stanford.edu/rt644py0257

Undergraduate Theses, Department of Physics

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