QMill provides an AI‑powered quantum circuit compression platform that reduces gate count and depth by 20‑50 % to improve fidelity and lower execution costs on noisy intermediate‑scale quantum (NISQ) devices. The hosted service offers REST API and SDK integration, enabling researchers and enterprises in finance, telecom, energy, and logistics to compress, run, and compare quantum circuits and access proprietary NISQ‑optimized algorithms for practical quantum advantage.
Funding
$4.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OMVFounders
Product
Problem
Current noisy intermediate-scale quantum (NISQ) computers cannot run many proven quantum algorithms efficiently, limiting the ability of businesses to obtain a practical quantum advantage with existing hardware.
Solution
QMill develops quantum‑advantage algorithms and an AI‑powered circuit compression service that make NISQ devices more useful for real‑world problems. Their compression technology reduces gate count and circuit depth by 20‑50 %, improving fidelity and lowering execution cost on current quantum processors. The service is offered as a hosted platform with API and SDK integration, allowing users to compress, run, and compare circuits quickly. By delivering optimized quantum circuits and tailored algorithms for sectors such as finance, telecommunications, energy, and logistics, QMill aims to bring practical quantum advantage forward to the near‑term hardware era.
Target Audience
Primary customers are quantum researchers and developers, as well as enterprises in finance, telecom, energy, and supply‑chain logistics seeking to leverage near‑term quantum computing for optimization and analytics.
Features
- AI‑driven quantum circuit compression achieving 20‑50 % reduction in gate count and depth
- Support for multiple hardware gate sets, including ion‑trap and Rigetti architectures
- Hosted service with REST API and SDK for seamless integration into existing quantum workflows
- Preservation of full circuit functionality while improving runtime and error resilience
- Cloud‑based execution and comparison tools that accelerate development cycles for quantum researchers
- Proprietary quantum algorithms designed for NISQ devices targeting high‑impact business use cases