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M5401LxxA Labber

技术概述

Overview

 

The M5401LxxA Labber software options (M5401L01A, M5401L05A, and M5401LENA) all offer a complete, easy-to-use solution for instrument control and lab automation, with particular focus on quantum applications. The software is suitable for an R&D, test, or measurement team that wishes to bring its experimental potential to its maximum, while minimizing the time spent on developing lab software infrastructure. 

 

Labber consists of three core components:

 

• An Instrument Server for instrument communication, supporting many vendors and interfaces, e.g., TCP/IP, GPIB, serial, USB etc.

 

• A Measurement Editor for efficient measurement configuration and execution.

 

• A Log Browser for organized storage of experimental data and configurations.

 

The M5401LxxA Software Package

 

This licensed software package for Labber includes a GUI for each component, as well as a Python API that together enable a versatile range of quantum measurements. All three products offer the full set of features listed below, differing only in license type and quantity (see Table 1).

 

Labber offers a complete, easy-to-use solution for instrument control and lab automation. Researchers and engineers require a flexible and fast software solution enabling the latest breakthrough. They should not have to divert time away from research, writing many lines of code. Instead, they can leverage Labber to accelerate their next breakthrough.

 

System Requirements

 

• Refer to the Labber Quantum System Requirements & Installation Guide.

 

What is included?

 

Table 1. Licenses for M5401L01A, M5401L05A, and M5401LENA

 

Product number

Product description

Notes

Durations available

License types available

M5401L01A

Individual Labber Quantum software license for lab control and automation

Single Labber software license

6-month

12-month

24-month

36-month

Node-locked

Transportable

USB Portable

Floating

M5401L05A

Group Labber Quantum software license for lab control and automation

 

Single Labber software license, sold only in sets of five 

6-month

12-month

24-month

36-month

Node-locked

Transportable

USB Portable

Floating

M5401LENA

Enterprise Labber Quantum software license for lab control and automation

Single floating Labber license supporting up to 80 concurrent users

36-month

Floating

 

 

Highlights

 

• Easy to use Python interface via a GUI or native API for measurement scripting and data analysis

 

o Log Browser that automatically loads and plots data for inspection

 

• Over 100 existing Keysight and 3rd party hardware (AWG/Digitizer/Signal Generators/Spectrum Analyzers/VNAs) and software drivers

 

o There are examples in the Labber User Manual on how to create hardware or software drivers.

 

• Drivers provide communication via VISA supporting TCP/IP, GPIB, serial, and USB Connections.

 

• Labber is trusted by universities, research laboratories, and companies worldwide to run their experiments.

 

Features

 

• The HDF5 file format saves experiment and instrumentation configuration with run data, enabling drag and drop replication in GUI (Measurement Editor or Log Browser) interchangeable with creation or file load via python API.

 

• As a convenience feature, users can click and drag an HDF5 file from a folder or an email and drop it onto the Measurement Editor GUI. This enables them to reload the experiment with an instrument configuration to inspect or replicate configurations from collaborators. This feature is also useful to inspect or debug the output of the Python API measurement scripts in the Measurement Editor GUI. Users can similarly drag and drop the HDF5 files to the Log Browser GUI to automatically plot the experiment data.

 

• Multi-dimensional sweeps with user defined setting relations. Quantities (frequency, amplitude, number of Cliffords) in a step sequence can be:

 

o Single value defined by the user or a relational value from other step channels. (For example: fs = fmqpg – np.sqrt(2)*25 MHz.) The user can also call built-in Python or NumPy (np.sqrt in the example) in the calculation.

 

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