RhymeQ
RhymeQ provides RHYME, a Python-based abstraction layer that lets software developers build quantum applications using familiar programming practices and AI coding assistants, without needing quantum physics expertise. The platform compiles high-level Python code into quantum circuits via NVIDIA CUDA-Q, enabling the same code to run across GPU simulators and quantum processors from multiple hardware vendors without lock-in.
- Quantum Computing
- Developer Tools
- Software Only
- Artificial Intelligence
Funding
Raised to date
$2.2MRaised 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.
across 1 round
GSVV$2.2M · Pre-Seed
Announced Oct 2026
Disclosed cumulative: $2.2M
Founders
Founder details are not available yet.
Product
Problem
Quantum computing requires developers to master quantum physics concepts like qubits and gates before they can solve problems, creating a steep learning curve. Code written for one quantum device often fails to work on another, forcing developers to relearn and rewrite for each new machine. Standard software engineering practices such as debugging, unit testing, and CI/CD remain immature for quantum code.
Solution
RHYME is a Python-based abstraction layer for hybrid quantum-classical programming that lets developers describe problems with high-level types instead of qubits and gates. The platform compiles those descriptions into quantum circuits, runs them on simulators or real quantum hardware, and returns results directly to the developer's application. RHYME is designed for AI-assisted coding, allowing developers to describe what they want and let their AI assistant write the RHYME code. The solution works within existing IDEs and connects to NVIDIA CUDA-Q, enabling the same code to run on GPU simulators and quantum processors from multiple hardware providers without vendor lock-in.
Target Audience
Software developers and engineering teams who want to build quantum applications without deep quantum physics expertise, including those already using AI coding assistants, standard Python development tooling, and enterprise design partners in chemicals, pharma, manufacturing, and mobility.
Features
- Python-first programming model with high-level types replacing qubits and gate-level operations
- Compilation pipeline that translates Python abstractions into quantum circuits compatible with NVIDIA CUDA-Q
- Support for running the same code on GPU simulators and real quantum hardware without rewriting
- Built for AI coding assistants, allowing developers to generate RHYME code through natural language descriptions
- Integrates with existing developer workflows and IDEs, eliminating the need to learn quantum physics
- Debugging capabilities for production-ready quantum code accessible to programmers without PhD-level physics expertise