Content area

Abstract

This study presents Q2SV, an FPGA‐based quantum state vector simulator implemented using high‐level synthesis (HLS), capable of simulating quantum circuits with up to 29 qubits. Using FPGA parallelism, efficient memory allocation, and hardware‐optimized execution pipelines, Q2SV achieves scalable quantum simulation without requiring iterative resynthesis. The system’s workflow processes OpenQASM circuits by providing a flexible and general‐purpose 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‐scale quantum circuit emulation. While not yet matching the raw computational power of high‐end CPUs and GPUs in all cases, this work establishes a foundational framework for future optimizations in hardware‐accelerated quantum simulation. This work provides an adaptable HLS‐based code that serves as a template that paves the way for enhanced memory management, parallel processing, and architecture‐specific optimizations, enabling more efficient FPGA‐based quantum simulations in the future.

Details

Title
Q2SV: A High‐Level Synthesis Approach for State Vector Quantum Simulation
Author
Bennakhi, Ahmad 1   VIAFID ORCID Logo  ; Byrd, Gregory T. 1   VIAFID ORCID Logo  ; Franzon, Paul 1   VIAFID ORCID Logo 

 North Carolina State University, , Raleigh, , USA, ncsu.edu 
Publication title
Volume
2025
Issue
1
Number of pages
18
Publication year
2025
Publication date
2025
Publisher
John Wiley & Sons, Inc.
Place of publication
Hoboken
Country of publication
United States
Publication subject
ISSN
25770470
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-29
Milestone dates
2025-09-17 (manuscriptRevised); 2025-11-29 (publishedOnlineFinalForm); 2025-03-10 (manuscriptReceived); 2025-10-07 (manuscriptAccepted)
Publication history
 
 
   First posting date
29 Nov 2025
ProQuest document ID
3276607776
Document URL
https://www.proquest.com/scholarly-journals/q2sv-high-level-synthesis-approach-state-vector/docview/3276607776/se-2?accountid=208611
Copyright
© 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-30
Database
ProQuest One Academic