- Add reference to the noise simulation example notebook
- Noise operators
- Use GitHub source for tox tests
- Added /taskArn to id field in AwsQuantumTask repr
- Fix link, typos, order
- stop manually managing waiting treads in quantum task batch requests
- roll back dwave change
- Dwave roll back
- use device data to create device level parameter data when creating a quantum annealing task
- check for task completion before entering async event loop
- remove unneeded get_quantum_task calls
- Update user_agent for AwsSession
- Fix broken repository links
- Run unit tests for dependent packages
- Remove STS calls from examples
- Add Python 3.9
- Don't return NotImplemented for boolean
- Use np.eye for identity
- AngledGate equality checks angles
- Unitary equality checks matrix
- Remove hardcoded device ARNs
- Wording changes
- Add note about AWS region in README
- Use main instead of PyPi for build dependencies
- very minor test changes
- remove unneeded calls to sts from the README
- adjust s3_folder naming in README to clarify which bucket to use
- Search for unknown QPUs
- Remove redundant statement, boost coverage
- convert measurements to indices without allocating a high-dimens…
- Raise coverage to 100%
- More scalable eigenvalue calculation
- ensure AngledGate casts its angle argument to float so it can be…
- get correct event loop for task results after running a batch over multiple threads
- remove window check for polling-- revert to polling at all times
- update result_types to use hashing
- Enable Codecov
- Update range of random qubit in test_qft_iqft_h
- Add build badge
- Use GitHub Actions for CI
- Get regions for QPUs instead of providers
- Do not search for simulators in wrong region
- Use current region for simulators in get_devices
- Always accept identity observable factors
- backticks for batching tasks
- add punctuation to aws_session.py
- fix backticks, missing periods in quantum task docs
- fix backticks, grammar for aws_device.py
- Correct integ test bucket
- Point README to developer guide
- Enable retries when retrieving results from AwsQuantumTaskBatch.
- Enable explicit qubit allocation
- Add support for batch execution
- Correctly cache status
- support tags parameter for create method in AwsQuantumTask
- update codeowners
- Enable simultaneous measurement of observables with shared factors
- Add optimization to only poll during execution window
- add observable targets not in instructions to circuit qubit count and qubits
- add sample notebooks link
- change check for s3 bucket exists
- change bucket creation setup for integ tests
- Add error for target qubit set size not equal to operator qubit size in instruction
- Add error message for running a circuit without instructions
- Update docstring for measurement_counts
- Add D-Wave Advantage_system1 arn
- fix black formatting
- Add CHANGELOG.md
- Add handling for solution_counts=[] for annealing result
- Add get_devices to search devices based on criteria
- Call async_result() before calling result()
- Convert amplitude result to a complex number
- add readthedocs link to README
This is the public release of the Amazon Braket Python SDK!
The Amazon Braket Python SDK is an open source library that provides a framework that you can use to interact with quantum computing devices through Amazon Braket.