Kipu Quantum and NVIDIA are pleased to share new progress in our collaboration on hybrid quantum optimization.

Building on our recent work on quantum-enhanced memetic tabu search (https://arxiv.org/abs/2511.04553), we have extended our numerical experiments to 43 qubits, continuing the scaling trajectory from 27 to 37 and now 43 qubits. These new results were enabled by large-scale simulations performed on the CINECA supercomputing infrastructure, allowing us to explore the behavior of our approach on larger structured optimization instances.
This work focuses on the Low Autocorrelation Binary Sequence (LABS) problem, a challenging combinatorial optimization task with a rugged energy landscape that makes it a demanding benchmark for both classical and quantum methods. Our hybrid framework combines quantum sampling with classical memetic tabu search, using quantum-generated states to guide the classical solver toward promising regions of the solution space.
The new simulations extend the system sizes considered in our earlier work and contribute additional data points for studying the scaling behavior of the hybrid approach. By reaching 43 qubits, we continue to examine how hybrid quantum-classical strategies behave as problem sizes increase and structured optimization instances become more demanding.

The work was enabled by simulations on the Leonardo supercomputer at CINECA., Prof. Francesco Ubertini, President of CINECAwhose team highlighted the importance of HPC infrastructures in advancing the integration of accelerated classical computing and quantum technologies:
"The collaboration between CINECA, Kipu Quantum, and NVIDIA highlights the strategic role of HPC infrastructures in advancing the integration of classical accelerated computing and quantum technologies. Supporting this large-scale simulation on the Leonardo cluster — a system funded by EuroHPC and the Italian Ministry of University and Research (MUR) — demonstrates how European and national investments in world-class supercomputing infrastructures enable the development and validation of hybrid quantum–classical algorithms, contributing in a concrete way to the architectural foundations of next-generation supercomputing. CINECA will continue to invest in this direction, fostering high-value international collaborations at the intersection of science and advanced computing.”

We thank NVIDIA for the collaboration and CINECA for providing the supercomputing resources that made these experiments possible.
More details will be shared soon.
#QuantumComputing #Optimization #HybridAlgorithms #HighPerformanceComputing #KipuQuantum #NVIDIA