dense-evolution
High-performance JAX + CuPy NISQ quantum circuit simulator
What it does
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.
Does the same job
all alternatives →- IVI've built a locally running Perplexity clone2024 · github.com · ▲669
The video demo runs a 7b Model on a normal gaming GPU. I think it already works quite well (accounting for the limited hardware power). :)
- FIfilippo.io/mlkem768 – Post-Quantum Cryptography for the Go Ecosystem2024 · words.filippo.io · ▲315
- ATA tiny LLM running at 21,000 tok/s on a $250 FPGA (Live Demo)27d ago · mikeayles.com · ▲79
A 3.16M-parameter INT4 transformer running entirely in the on-chip memory of a Xilinx Kria KV260. Zero DRAM in the token loop, 59,965 tok/s on the fabric, bit-exact. Chat with it live.
- TVTiny-vLLM – high performance LLM inference engine in C++ and CUDAMay 2026 · github.com · ▲205
- QQQumulator – quantum circuit simulator, 1000 qubits, no GPUApr 2026 · github.com · ▲14
- AFA fast quantum circuit simulatorOct 2025 · qblaze.org · ▲9
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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