mirror of https://github.com/Qiskit/qiskit.git
47 lines
1.8 KiB
YAML
47 lines
1.8 KiB
YAML
---
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prelude: |
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This release includes many new features and bug fixes. The highlights of
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this release are the introduction of two new transpiler
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passes, :class:`~qiskit.transpiler.passes.BIPMapping` and
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:class:`~qiskit.transpiler.passes.DynamicalDecoupling`, which when combined
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with the new ``pulse_optimize`` kwarg on the
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:class:`~qiskit.transpiler.passes.UnitarySynthesis` pass enables recreating
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the Quantum Volume 64 results using the techniques
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described in: https://arxiv.org/abs/2008.08571. These new transpiler passes
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and options and are also generally applicable to optimizing any circuit.
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features:
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- |
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A new binary serialization format, `QPY`, has been introduced. It is
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designed to be a fast binary serialization format that is backwards
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compatible (QPY files generated with older versions of Qiskit can be
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loaded by newer versions of Qiskit) that is native to Qiskit. The QPY
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serialization tooling is available via the
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:mod:`qiskit.circuit.qpy_serialization` module. For example, to generate a
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QPY file::
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from datetime import datetime
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from qiskit.circuit import QuantumCircuit
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from qiskit.circuit import qpy_serialization
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qc = QuantumCircuit(
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2, metadata={'created_at': datetime.utcnow().isoformat()}
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)
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qc.h(0)
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qc.cx(0, 1)
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qc.measure_all()
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circuits = [qc] * 5
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with open('five_bells.qpy', 'wb') as qpy_file:
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qpy_serialization.dump(circuits, qpy_file)
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Then the five circuits saved in the QPY file can be loaded with::
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from qiskit.circuit.qpy_serialization
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with open('five_bells.qpy', 'rb') as qpy_file:
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circuits = qpy_serialization.load(qpy_file)
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The QPY file format specification is available in the module documentation.
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