grageragarces/HDH

AI Summary: The user reports that the PyPI deployment process initiated from GitHub is currently broken. While the library itself is updated and working correctly on PyPI, the automated mechanism for deploying from GitHub seems to be failing. The user believes this should be an easy fix, though the specific cause is unknown.

AI Summary: This GitHub issue proposes the creation of a new software converter. Its primary function will be to translate quantum circuit representations from Amazon's Braket SDK into the project's internal 'circuit class' format, facilitating interoperability.

AI Summary: This issue proposes adding a new converter to the system. The goal is to develop a tool that can translate quantum circuits or objects from the PennyLane framework into a generic 'circuit class' format. This would improve interoperability by allowing PennyLane circuits to be used with other components that understand the target circuit class.

AI Summary: This GitHub issue requests the development of a new converter. The goal is to build a tool that translates quantum circuits defined using the Cirq framework into the project's internal `circuit class` representation, enabling interoperability with Cirq-generated circuits.

AI Summary: Extend the HDH library to support conditional quantum gates controlled by classical bits. This involves adding support for a new conditional flag in the `Circuit.add_instruction()` method, updating existing converters (QASM and Qiskit) to handle this new functionality, and ensuring compatibility with other quantum computation models supported by HDH (MBQC).

AI Summary: Enhance the `compute_cut` function in the HDH library to incorporate QPU-aware partitioning. This involves adding support for constraints such as maximum qubits per partition, device-specific capacities, and weighted preferences for minimizing qubit splitting across partitions. The goal is to improve the partitioning algorithm's ability to map quantum computations onto real-world quantum processors efficiently.