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An open-source Statevector Quantum Simulator engineered to bypass the steep XLA memory and tracking overhead typical of JAX beyond 20 qubits. It utilizes custom Linear Kernel Fusion and Circuit Chunking to eliminate host RAM saturation during deep NISQ circuit executions, enabling seamless hardware-agnostic acceleration across multi-core CPUs and CUDA-powered GPUs via CuPy.
Hi Product Hunt! I am the creator of dense-evolution.
I built this simulator to solve a real practical issue: the massive RAM footprint and JIT compilation bottlenecks encountered when simulating dense quantum circuits and VQE/QML algorithms past 20 qubits using standard frameworks.
By restructuring gate execution through stride-slicing and runtime linear tensor permutations, dense-evolution cuts down memory allocation to its absolute theoretical minimum while preserving full float64 machine epsilon precision.
I would love to get the community's feedback on the Kernel Fusion architecture and memory management layer!
GitHub: https://github.com/tatopenn-cell...
PyPI: https://pypi.org/project/dense-e...
dense-evolution was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. An open-source Statevector Quantum Simulator engineered to bypass the steep XLA memory and tracking overhead typical of JAX beyond 20 qubits. It utilizes custom Linear Kernel Fusion and Circuit Chunking to eliminate host RAM saturation during deep NISQ circuit executions, enabling seamless hardware-agnostic acceleration across multi-core CPUs and CUDA-powered GPUs via CuPy.
dense-evolution was featured in Open Source (68.5k followers), Developer Tools (514k followers), GitHub (41.3k followers) and Science (1.4k followers) on Product Hunt. Together, these topics include over 108.3k products, making this a competitive space to launch in.
Who hunted dense-evolution?
dense-evolution was hunted by salvatore pennacchio. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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salvatore pennacchio