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* Fix BackendProperties required lengths Fix the required length of some items in `BackendProperties`, to adjust to specs. * Update backend.properties() return model Update `BaseBackend.properties()` in order to return instances of `BackendProperties` instead of dicts. Update the local simulators with a basic `BackendProperties` - some of the fields (gates, qubits) are populated with dummy values in order to conform to the specs, but need to be revised. * Enable test_aer_backend_properties, fix dummy sim Enable the `test_aer_backend_properties`, for checking that all local simulators produce schema-conformant BackendProperties. Fix the dummy sim with properties(). * Update IBMQBackend.properties() using model Update `IBMQBackend.properties()` for returning an instance of `BackendProperties` instead of a dict. The logic for converting the API properties has been moved to IBMQConnector, taking into account the format returned currently for QX and IBMQ, while waiting for the new endpoints with the final format. Enable `test_remote_backend_properties` for testing the feature. * Update CHANGELOG |
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README.md
Qiskit Terra
Qiskit is a software development kit for developing quantum computing applications and working with NISQ (Noisy-Intermediate Scale Quantum) computers.
Qiskit is made up elements that each work together to enable quantum computing. This element is Terra and is the foundation on which the rest of Qiskit is built (see this post for an overview).
Installation
We encourage installing Qiskit via the PIP tool (a python package manager):
pip install qiskit
PIP will handle all dependencies automatically for us and you will always install the latest (and well-tested) version.
At least Python 3.5 or later is needed for using Qiskit. In addition, Jupyter Notebook is recommended for interacting with the tutorials. For this reason we recommend installing the Anaconda 3 python distribution, as it comes with all of these dependencies pre-installed.
See installing Qiskit for detailed instructions, how to build from source and using environments.
Creating your first quantum program
Now that Qiskit is installed, it's time to begin working with Terra.
We are ready to try out a quantum circuit example, which is simulated locally using the Qiskt Aer element. This is a simple example that makes an entangled state.
$ python
>>> from qiskit import *
>>> q = QuantumRegister(2)
>>> c = ClassicalRegister(2)
>>> qc = QuantumCircuit(q, c)
>>> qc.h(q[0])
>>> qc.cx(q[0], q[1])
>>> qc.measure(q, c)
>>> backend_sim = Aer.get_backend('qasm_simulator')
>>> result = execute(qc, backend_sim).result()
>>> print(result.get_counts(qc))
In this case, the output will be:
{'counts': {'00': 513, '11': 511}}
A script is available here, where we also show how to run the same program on a real quantum computer via IBMQ.
Executing your code on a real quantum chip
You can also use Qiskit to execute your code on a real quantum chip. In order to do so, you need to configure Qiskit for using the credentials in your IBM Q account:
Configure your IBMQ credentials
-
Create an IBM Q > Account if you haven't already done so.
-
Get an API token from the IBM Q website under My Account > Advanced > API Token.
-
Take your token from step 2, here called
MY_API_TOKEN
, and run:>>> from qiskit import IBMQ >>> IBMQ.save_account('MY_API_TOKEN')
-
If you have access to the IBM Q Network features, you also need to pass the url listed on your IBM Q account page to
save_account
.
After calling IBMQ.save_account()
, your credentials will be stored on disk.
Once they are stored, at any point in the future you can load and use them
in your program simply via:
>>> from qiskit import IBMQ
>>> IBMQ.load_accounts()
For those who do not want to save there credentials to disk please use
>>> from qiskit import IBMQ
>>> IBMQ.enable_account('MY_API_TOKEN')
and the token will only be active for the session. For examples using Terra with real devices we have provided a set of examples in examples/python and we suggest starting with using_qiskit_terra_level_0.py and working up in the levels.
Contribution guidelines
If you'd like to contribute to Qiskit, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expect to uphold to this code.
We use GitHub issues for tracking requests and bugs. Please use our slack for discussion. To join our Slack community use the link. To ask questions to Stack Overflow.
Next Steps
Now you're set up and ready to check out some of the other examples from our Qiskit Tutorial repository.
Authors
Qiskit Terra is the work of many people who contribute to the project at different levels.