Quick Navigation

Topics

Superconducting Qubits Quantum Simulation

Weaving Complex Graph on simple low-dimensional qubit lattices

arXiv
Authors: Yu-Hang Dang, Shyam Dhamapurkar, Xiao-Long Zhu, Zheng-Yang Zhou, Hao-Yu Guan, Xiu-Hao Deng

Year

2024

Paper ID

67296

Status

Preprint

Abstract Read

~2 min

Abstract Words

141

Citations

N/A

Abstract

In quantum computing, the connectivity of qubits placed on two-dimensional chips limits the scalability and functionality of solid-state quantum computers. This paper presents two approaches to constructing complex quantum networks from simple qubit arrays, specifically grid lattices. The first approach utilizes a subset of qubits as tunable couplers, effectively yielding a range of non-trivial graph-based Hamiltonians. The second approach employs dynamic graph engineering by periodically activating and deactivating couplers, enabling the creation of effective quantum walks with longer-range couplings. Numerical simulations verify the effective dynamics of these approaches. In terms of these two approaches, we explore implementing various graphs, including cubes and fullerenes, etc, on two-dimensional lattices. These techniques facilitate the realization of analog quantum simulation, particularly continuous-time quantum walks discussed in detail in this manuscript, for different computational tasks on superconducting quantum chips despite their inherent low dimensional simple architecture.

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 #67296 #67316 Synthetic high angular momentum... #67308 Multi-frequency control and mea... #67354 Realizing triality and $p$-alit... #67352 Lieb-Schultz-Mattis Theorem wit...

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.