- QUTIP INSTALL ANACONDA WINDOWS HOW TO
- QUTIP INSTALL ANACONDA WINDOWS UPDATE
- QUTIP INSTALL ANACONDA WINDOWS CODE
Please keep up to date with pyEPR by using git.
QUTIP INSTALL ANACONDA WINDOWS HOW TO
The following steps explain how to set up Python 3, fork the pyEPR repo and use it.
QUTIP INSTALL ANACONDA WINDOWS UPDATE
Use pyEPR directly from the source, and pull updates from the master git repo, since we often update it. Jupyter notebook tutorials Installation and setup of pyEPR quick_plot_mode ( 0, 0, 1, numeric = True, swp_variable = swp_variable ) pyEPR Video Tutorials report_results ( swp_variable = swp_variable, numeric = True ) epra. plot_hamiltonian_results ( swp_variable = swp_variable ) epra. Report solved results swp_variable = 'Lj_alice' # suppose we swept an optimetric analysis vs. analyze_all_variations ( cos_trunc = 8, fock_trunc = 7 ) # 4b. Perform Hamiltonian spectrum post-analysis, building on mw solutions using EPR epra = epr. hfss_report_full_convergence () # report convergen eprd. quick_plot_frequencies ( swp_var ) # plot the solved frequencies before the analysis eprd. DistributedAnalysis ( pinfo ) if 1 : # automatic reports eprd. Perform microwave analysis on eigenmode solutions eprd = epr. dissipative = # supply names of hfss objects pinfo. validate_junction_info () # Check that valid names of variables and objects have been supplied.
ProjectInfo ( project_path = r 'C:\sim_folder', project_name = r 'cavity_with_two_qubits', design_name = r 'Alice_Bob' ) # 2a. Connect to your Ansys, and load your design pinfo = epr. See the tutorial notebooks! import pyEPR as epr # 1. The results are saved, printed, and succinctly plotted. All operations in the eigen analysis and Hamiltonian computation are fully automated. In the HFSS file, before running the script, first specify the non-linear junction rectangles and variables (see Sec.
QUTIP INSTALL ANACONDA WINDOWS CODE
The following code illustrates how to perform a complete analysis of a simple two-qubit, one-cavity device in just a few lines of code with pyEPR. Stay up to date Enjoy and make sure to git add the master remote branch git remote add MASTER_MINEV git:///zlatko-minev/pyEPR.git (help?).Tutorials Learn how to use using the jupyter notebook tutorials.Setup the pyEPR python code by following Installation and Python Setup. Clone :point_down: your forked repository locally.Fork :fork_and_knife: the pyEPR top-level repository on GitHub.and many more! (Please e-mail with updates.) Quantum Device Lab ETHZ Andreas Wallraff.Centre for Quantum Technologies / Qcrew.Javad Shabani Lab Quantum Materials & Devices, NYU, NY, USA.Britton Plourde Lab, Syracuse University, USA.
University of Oxford - LeekLab - Peter Leek Lab, UK.Serge quantum circuits group ( ) in the Weizmann Instatue, Israel.Seeqc (spin-out of Hypres) Digital Quantum Computing, USA.UC Berkeley, Quantum Nanoelectronics Laboratory, Irfan Siddiqi, CA, USA.Ioan Pop group, KIT Physikalisches Institut, Germany.Quantum Circuit Group Benjamin Huard, Ecole Normale Supérieure de Lyon, France.QUANTIC (QUANTUM INFORMATION CIRCUITS), PARISINRIA, ENS, MINES PARISTECH, UPMC, CNRS.Yale University, Rob Schoelkopf lab RSL, CT, USA.Yale University, Michel Devoret lab QLab, CT, USA.
We will schedule a follow-up meeting in 1-2 mo.See pyEPR wiki for notes from first meeting.Please sign-up here: or directly here :bangbang: :beers:.PyEPR Working group meeting - Planning for the future of pyEPR Dissertation, Yale University (2018), Chapter 4. Energy-participation quantization of Josephson circuits. pyEPR: The energy-participation-ratio (EPR) open-source framework for quantum device design. O., Reinhold, P., Diringer, A., & Devoret, M. Welcome to pyEPR :beers:! (see arXiv:2010.00620)Īutomated Python module for the design and quantization of Josephson quantum circuits Documentation
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