Continue Real-time benchmarking tutorial update#4711
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This tutorial is meant to update / replace the current Real-Time Benchmarking Qubit Selection Tutorial. This tutorial shows how to run real-time characterization experiments and update backend properties to improve qubit selection when mapping a circuit to the physical qubits on QPU. The main goal is to demonstrate the benefits of running real-time characterization experiments before executing a quantum circuit. Users will learn how to: - Perform basic characterization experiments in Qiskit to determine the key properties of a QPU. - Update QPU error properties with real-time data and use them to transpile circuits, enabling the selection of the best-performing qubit layouts before execution on actual hardware. To highlight the benefits of real-time QPU characterization, the tutorial establishes a correlation between predicted and measured hardware performance. This is done by transpiling and running the same circuit across several randomly selected layouts and comparing their outcomes. As a case study, we focus on a modified LUCJ circuit, which is commonly used as an ansatz to estimate the ground-state energy of correlated electronic systems. --------- Co-authored-by: Maria Jose Lozano <mlozano@marias-mbp.watson.ibm.com> Co-authored-by: Maria Jose Lozano <mlozano@marias-mbp.oma-us.ibm.com> Co-authored-by: ABBY CROSS <across@us.ibm.com>
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Continuation of #4519.
cc: @majo-lozano