Release 0.4.1 & fix state preparation in remote backend #21
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added 11 commits
November 4, 2023 13:57
This new version introduces breaking changes and will require some work to be supported.
Simulation used to fail when the number of qubits of the processor was larger than the number of qubits supported by AerSimulator. This commit fixes this. Note that this is caused by the release qiskit-aer==0.13.0, and we forbid this version in the next commit because it is too slow. Nevertheless, the fix is valuable in itself, for the day 0.13.1 comes out or if we find a fix for the slowness.
This release made aer irritatingly slow.
The name of instructions should not be an arbitrary string reflecting the true nature of the instruction, but rather an existing Qiskit intstruction. We knew that already in local/, but since the next commits will make remote/ perform actual transpilation before sending the circuit to the API, this problem became apparent.
This commit, by using a new version of qiskit-qir-alice-bob-fork, removes a significant piece of technical debt: * The version of qiskit-qir now supports native operations like mx, prepare_x, prepare_z * This makes it possible for the remote backend to transpile to native A&B qir and send it directly to the API. Additionally, this commit factorizes the LocalStatePreparationPlugin and the RemoteStatePreparationPlugin into a single StatePreparationPlugin. As a consequence, this means that remote backends now cause Qiskit to perform some transpilation when a circuit is executed. This will allow us to support through the API a target like EMU:6Q:PHYSICAL_CATS.
The plugin now gets the list of instructions from the target provided to the plugin, rather than from the processor itself. This will enable to use this plugin for remote/ as well.
This will allow us to use this plugin in remote/ when executing against logical backends like EMU:6Q:LOGICAL_QUBITS through the API.
The remote/ backend now uses the SKSynthesisPlugin when (1) rotations are absent from the gate set and (2) H and T are in the gate set. This will allow us to support logical qubit targets through the API. The drawback is that the decision rule (1 + 2 above) may not be suitable for some given situation in the future. Time will tell!
MaxleDrut
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Nov 6, 2023
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