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Using FPGA parallelism, efficient memory allocation, and hardware\u2010optimized execution pipelines, Q2SV achieves scalable quantum simulation without requiring iterative resynthesis. The system\u2019s workflow processes OpenQASM circuits by providing a flexible and general\u2010purpose quantum state vector simulation approach. Experimental evaluations demonstrate significant reductions in execution time and storage requirements, positioning FPGAs as a possible alternative to GPUs and CPUs for large\u2010scale quantum circuit emulation. While not yet matching the raw computational power of high\u2010end CPUs and GPUs in all cases, this work establishes a foundational framework for future optimizations in hardware\u2010accelerated quantum simulation. This work provides an adaptable HLS\u2010based code that serves as a template that paves the way for enhanced memory management, parallel processing, and architecture\u2010specific optimizations, enabling more efficient FPGA\u2010based quantum simulations in the future.<\/jats:p>","DOI":"10.1155\/que2\/9017796","type":"journal-article","created":{"date-parts":[[2025,11,30]],"date-time":"2025-11-30T06:05:34Z","timestamp":1764482734000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Q2SV: A High\u2010Level Synthesis Approach for State Vector Quantum Simulation"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4269-2856","authenticated-orcid":false,"given":"Ahmad","family":"Bennakhi","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3647-8738","authenticated-orcid":false,"given":"Gregory T.","family":"Byrd","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6048-5770","authenticated-orcid":false,"given":"Paul","family":"Franzon","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,11,29]]},"reference":[{"key":"e_1_2_14_1_2","article-title":"Qiskit: An Open-Source Framework for Quantum Computing","author":"Abraham H.","year":"2019","journal-title":"Qiskit Open Source Project"},{"key":"e_1_2_14_2_2","volume-title":"cuQuantum: Accelerating Quantum Circuit Simulations with Gpus","author":"NVIDIA Corporation","year":"2022"},{"key":"e_1_2_14_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1666-5"},{"key":"e_1_2_14_4_2","doi-asserted-by":"crossref","unstructured":"Ha\u00a8nerT. 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