Hundreds of qubits on classical hardware
✓
CPU, GPU, and hybrid simulation engines
✓
Native support for Qiskit and CUDA-Q
✓
Runs locally, in your cloud, or on HPC
✓
Why Use a Simulator
Quantum computers are extremely powerful, but they are terrible development environments.
Real Quantum Computers
Wait hours for results
Pay per hour
High Errors
Limited to Small Circuit
Quantum Rings Simulation
Runs Instantly
Unlimited runs
Low Errors
Run Larger, Complex Circuits
The Result: faster iteration and stronger algorithms before deploying to real devices.
Works With Your Existing Code
Supported frameworks:
Qiskit
CUDA-Q
Python environments
Linux / macOS / Windows
Developers can often run existing circuits by simply changing the backend!
Easy to integrate into your processes, no upskilling, no re-work. Start running on Quantum Rings the same day you Register.
Backends Optimized for CPU and GPU.
Scarlet
CPU Engine
Best for small to medium circuits and developer laptops.
CPU-only backend
Minimal setup
Ideal for early experimentation
Efficient memory layout
Use when:
< ~30 qubits
development / debugging
no GPU available
Amber
GPU Engine
GPU-accelerated simulation for larger circuits.
CUDA-accelerated backend
high-throughput circuit execution
significantly faster runtime for complex circuits
Use when:
large circuits
many gate operations
research workloads
Serin
Hybrid Engine
Hybrid CPU/GPU execution.
Designed for developers with consumer GPUs or mixed workloads.
CPU handles most operations
GPU offloads heavy calculations
ideal for laptop GPUs