Quick Navigation

Topics

Trapped Ion Quantum Computing Superconducting Qubits Quantum Simulation

Variational Quantum Gate Optimization

arXiv
Authors: Kentaro Heya, Yasunari Suzuki, Yasunobu Nakamura, Keisuke Fujii

Year

2018

Paper ID

23712

Status

Preprint

Abstract Read

~2 min

Abstract Words

120

Citations

N/A

Abstract

We propose a gate optimization method, which we call variational quantum gate optimization (VQGO). VQGO is a method to construct a target multi-qubit gate by optimizing a parametrized quantum circuit which consists of tunable single-qubit gates with high fidelities and fixed multi-qubit gates with limited controlabilities. As an example, we apply the proposed scheme to the models relevant to superconducting qubit systems. We show in numerical simulations that the high-fidelity CNOT gate can be constructed with VQGO using cross-resonance gates with finite crosstalk. We also demonstrate that fast and a high-fidelity four-qubit syndrome extraction can be implemented with simultaneous cross-resonance drives even in the presence of non-commutative crosstalk. VQGO gives a pathway for designing efficient gate operations for quantum computers.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • We propose a gate optimization method, which we call variational quantum gate optimization (VQGO).

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #23712 #68985 Floquet Entanglement Generation... #69038 Physically Constrained Ensemble... #69023 Scalable Quantum Algorithms for... #68996 Coherent versus stochastic erro...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.