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This repository contains an HPC-ready implementation of the [Qiskit addon for Sample-based Quantum Diagonalization (SQD)](https://github.com/Qiskit/qiskit-addon-sqd).
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- Modern C++17 template library, compatible with standard (STL) interfaces.
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- Provides low-level functions for performing postselection, subsampling, and configuration recovery.
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- Able to integrate with the [sbd eigensolver](https://github.com/r-ccs-cms/sbd), which was developed at RIKEN to enable large-scale SQD calculations. See the [Qiskit 2.2 C API demo repository], in which a single binary harnessing both OpenMP and MPI-level parallelism is compiled for an HPC cluster.
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- Cross-architecture, tested on x86_64 and ARMv8. Cross-platform, tested on Linux, macOS, and Windows.
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- Able to integrate with the [sbd eigensolver](https://github.com/r-ccs-cms/sbd), which was developed at RIKEN to enable large-scale SQD calculations.
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- Cross-architecture, tested on x86_64 and ARMv8. Cross-platform, tested on Linux, macOS, and Windows, using GCC, Clang, and MSVC.
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- Compile with exceptions enabled or disabled -- your choice. [RTTI](https://en.wikipedia.org/wiki/Run-time_type_information) is optional, too.
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- Complete API documentation.
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- Fully tested, with a test suite based on [doctest](https://github.com/doctest/doctest).
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- Performant, with a micro-benchmark suite based on [nanobench](https://github.com/martinus/nanobench).
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