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Flat-Band (De)localization Emulated with a Superconducting Qubit Array
Materials with flat electronic band structures have attracted intense interest in recent years, particularly after the discovery of superconductivity in magic-angle twisted bilayer graphene. However, experimentally exploring the rich physics of flat bands remains difficult due to the challenges in fabricating such materials and precisely controlling the flatness of their bands. In this work, we address these limitations by using a quantum computer to emulate a flat-band material.
A synthetic magnetic vector potential in a 2D superconducting qubit array - Nature Physics
Abstract Superconducting quantum processors are a compelling platform for analogue quantum simulation due to the precision control, fast operation and site-resolved readout inherent to the hardware. Arrays of coupled superconducting qubits natively emulate the dynamics of interacting particles according to the Bose–Hubbard model. However, many interesting condensed-matter phenomena emerge only in the presence of electromagnetic fields.
Learning-Based Calibration of Flux Crosstalk in Transmon Qubit Arrays
Abstract Superconducting quantum processors comprising flux-tunable data and coupler qubits are a promising platform for quantum computation. However, magnetic flux crosstalk between the flux-control lines and the constituent qubits impedes precision control of qubit frequencies, presenting a challenge to scaling this platform. In order to implement high-fidelity digital and analog quantum operations, one must characterize the flux crosstalk and compensate for it.
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