Hardware-Agnostic Algorithm: Qunova's HiVQE algorithm achieved chemical accuracy across multiple quantum processors, confirming its adaptability to various hardware platforms.
Live Demonstrations: Qunova’s algorithm was showcased on a 20-qubit IQM machine at Quantum Korea 2024, running successfully for three consecutive days.
Significant Efficiency Gains: The HiVQE algorithm reduces computational resources by 1,000 times compared to traditional VQEs, making it highly efficient.
Qunova Computing has announced that its HiVQE algorithm has achieved chemical accuracy across multiple quantum devices, marking a key step toward quantum advantage in chemistry. Testing on various NISQ (Noisy Intermediate-Scale Quantum) machines demonstrated that the algorithm can meet industry standards with fewer computational resources than traditional methods. These results indicate that Qunova’s solution may soon provide industrial users with a reliable quantum computing advantage using as few as 40 to 60 qubits.
During the Quantum Korea 2024 event, Qunova showcased its algorithm on a 20-qubit IQM machine, successfully running for three consecutive days. Each demonstration produced energy estimations of lithium sulfide, confirming the algorithm’s ability to achieve chemical accuracy. Qunova also tested its solution on a 24-qubit IBM Quantum Eagle processor, achieving 0.1 millihartrees accuracy—well beyond the threshold for chemical accuracy. Further trials on AQT’s IBEX Q1 quantum computer demonstrated that the algorithm is effective across multiple hardware platforms.
“This is a very exciting result for our team, and indeed for the quantum computing community more broadly,” said June-Koo Kevin Rhee, CEO and Founder of Qunova Computing. “These results show that we are able to meet the requirements of industrial users on existing NISQ machines. We anticipate that running a similar demonstration on a NISQ machine with as few as 40 qubits could provide industrial users with a real quantum advantage. To that end, our team will spend the coming months preparing experiments to confirm if this theory is correct.”
The HiVQE algorithm supports a variety of chemical compounds, including lithium sulfide, hydrogen sulfide, water, and methane, demonstrating its potential for broad application. The tests confirm that Qunova’s solution is hardware-agnostic, making it versatile across different quantum systems. This efficiency and adaptability position the algorithm as a promising tool for chemical and pharmaceutical industries aiming to accelerate R&D and reduce costs.
“The results Qunova has demonstrated mark a significant milestone for end-users aiming to use quantum hardware for applications in the field of chemistry. IQM is pleased to have supplied the hardware on which this demonstration was run repeatedly, over multiple days, during this summer’s Quantum Korea event. Our commercial quantum system ran reliably and, together with Qunova’s advanced algorithm, demonstrated that we are now entering the era when quantum computing can deliver real value for users in the form of new business applications,” said Dr. Peter Eder, Head of Strategic Partnerships at IQM Quantum Computers.
Founded in 2021, Qunova Computing develops quantum algorithms tailored for the chemical and pharmaceutical sectors. The company's solutions have been validated by leading hardware providers, showing potential to achieve quantum advantage with NISQ devices. Qunova’s hybrid approach combines quantum algorithms with classical computing, enabling faster R&D processes and lowering development costs. For more information, visit Qunova Computing.
