Quick Navigation
Topics
Trapped Ion Quantum Computing
Superconducting Qubits
Quantum Simulation
Quantum transport and localization in 1d and 2d tight-binding lattices
arXiv
Authors: Amir H. Karamlou, Jochen Braumüller, Yariv Yanay, Agustin Di Paolo, Patrick Harrington, Bharath Kannan, David Kim, Morten Kjaergaard, Alexander Melville, Sarah Muschinske, Bethany Niedzielski, Antti Vepsäläinen, Roni Winik, Jonilyn L. Yoder, Mollie Schwartz, Charles Tahan, Terry P. Orlando, Simon Gustavsson, William D. Oliver
Year
2021
Paper ID
63327
Status
Preprint
Abstract Read
~2 min
Abstract Words
138
Citations
N/A
Abstract
Particle transport and localization phenomena in condensed-matter systems can be modeled using a tight-binding lattice Hamiltonian. The ideal experimental emulation of such a model utilizes simultaneous, high-fidelity control and readout of each lattice site in a highly coherent quantum system. Here, we experimentally study quantum transport in one-dimensional and two-dimensional tight-binding lattices, emulated by a fully controllable 3 times 3 array of superconducting qubits. We probe the propagation of entanglement throughout the lattice and extract the degree of localization in the Anderson and Wannier-Stark regimes in the presence of site-tunable disorder strengths and gradients. Our results are in quantitative agreement with numerical simulations and match theoretical predictions based on the tight-binding model. The demonstrated level of experimental control and accuracy in extracting the system observables of interest will enable the exploration of larger, interacting lattices where numerical simulations become intractable.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2021 reference point for readers tracking recent quantum research.
- Particle transport and localization phenomena in condensed-matter systems can be modeled using a tight-binding lattice Hamiltonian.
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
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
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.