Flat-band (de)localization emulated with a superconducting qubit array
ORAL
Abstract
Arrays of coupled superconducting qubits can be used as analog quantum simulators of tight-binding models with broadly adjustable model parameters. These simulators can therefore be used to study parameter regimes that are difficult to access or tune in natural materials, for example regimes with multiple competing energy scales. In this work, we use a superconducting qubit array to emulate a tight-binding model on the rhombic lattice, which features flat bands. Enabled by broad adjustability of the bandwidth of the system and of on-site disorder, we examine regimes where flat-band localization and Anderson localization compete. Remarkably, we find a sudden transition between the two regimes and, in its vicinity, the semblance of universal scaling behavior.
*This material is based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator. Additional support is acknowledged from the Defense Advanced Research Projects Agency under the Quantum Benchmarking contract; from U.S. Army Research Office Grant W911NF-23-1-0045; from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract number DE-SC0012704; and under Air Force Contract No. FA8702-15-D-0001. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.
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Publication:Rosen, I. T., et al. Flat-band (de)localization emulated with a superconducting qubit array. arXiv:2410.07878 (2024).
Presenters
Ilan T Rosen
Massachusetts Institute of Technology
Authors
Ilan T Rosen
Massachusetts Institute of Technology
Sarah Muschinske
Massachusetts Institute of Technology
Cora Barrett
Massachusetts Institute of Technology
David A Rower
MIT
Massachusetts Institute of Technology
Rabindra Das
Lincoln Laboratory, Massachusetts Institute of Technology
Massachusetts Institute of Technology MIT
David K Kim
MIT Lincoln Lab
Lincoln Laboratory, Massachusetts Institute of Technology
Bethany M Niedzielski
MIT Lincoln Laboratory
Lincoln Laboratory, Massachusetts Institute of Technology
Meghan Schuldt
Lincoln Laboratory, Massachusetts Institute of Technology
MIT Lincoln Laboratory
Kyle Serniak
MIT Lincoln Laboratory
Lincoln Laboratory, Massachusetts Institute of Technology
Mollie E Schwartz
MIT Lincoln Laboratory
Lincoln Laboratory, Massachusetts Institute of Technology
Jonilyn L Yoder
MIT Lincoln Laboratory
Lincoln Laboratory, Massachusetts Institute of Technology