2017/09/30 by P. Roushan, C. Neill, J. Tangpanitanon +33 · 20 citations
Physics and Astronomy · #Model Reduction and Neural Networks #Photon #Physics #Quantum #Quantum and electron transport phenomena #Quantum many-body systems #Quantum mechanics #Qubit #Superconducting quantum computing #Superconductivity #quant-ph
paper · pdf · doi:10.1126/science.aao1401
openalex publication_date 2017/11/30 · arxiv created 2017/12/20 · arxiv updated 2017/12/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Quantized eigenenergies and their associated wave functions provide extensive information for predicting the physics of quantum many-body systems. Using a chain of nine superconducting qubits, we implement a technique for resolving the energy levels of interacting photons. We benchmark this method by capturing the main features of the intricate energy spectrum predicted for two-dimensional electrons in a magnetic field-the Hofstadter butterfly. We introduce disorder to study the statistics of the energy levels of the system as it undergoes the transition from a thermalized to a localized phase. Our work introduces a many-body spectroscopy technique to study quantum phases of matter.