Qunova Computing has launched its HI-VQE (Handover Iterative Variational Quantum Eigensolver) algorithm on the AWS Marketplace, integrating the solution with Amazon Braket. The distribution expands the algorithm’s accessibility to AWS users, providing a direct software-to-hardware pathway for industrial chemistry applications. HI-VQE is designed to execute on multiple quantum modalities available through Braket, including trapped-ion, superconducting, and neutral-atom processors from IonQ, IQM, QuEra, AQT, and Rigetti.
The HI-VQE algorithm utilizes a hybrid quantum-classical architecture specifically optimized for the Noisy Intermediate-Scale Quantum (NISQ) era. Unlike traditional VQE methods that rely on extensive Pauli word measurements—which often introduce significant overhead—Qunova’s “Handover” iteration reduces resource demands by simplifying the quantum-to-classical data transfer. This mechanism allows for molecular modeling and material reaction simulations to achieve “chemical accuracy” with fewer quantum resources, reportedly improving computational efficiency by several orders of magnitude compared to standard variational solvers.
The algorithm is strictly hardware-agnostic and has been validated on various quantum systems with scales reaching up to 56 qubits. By offering the tool via a cloud-native marketplace, Qunova aims to remove integration barriers for enterprises in the pharmaceutical, petrochemical, and materials science sectors. The platform supports multiple commercial models, including pay-as-you-go, annual subscriptions, and custom short-term project plans, intended to fit standard industrial R&D workflows.
The AWS launch follows the algorithm’s 2025 debut on the IBM Qiskit Functions catalog, marking a second major cloud distribution milestone. Qunova has also introduced a secondary optimization algorithm capable of handling up to 100,000 combinatorial variables on current NISQ hardware. These developments are precursors to a planned demonstration of “Industrial Quantum Advantage” scheduled for February 2026, which intends to show quantum-enhanced precision for computational chemistry tasks that are currently intractable for classical-only high-performance computing (HPC) systems.
Read the official announcement from Qunova Computing here and refer to our previous coverage on Qunova’s $10 Million Series A Funding here.
January 26, 2026
