A software-level approach to reducing quantum computing variance by up to 99%, validated across three commercial hardware platforms.
Current quantum computers face a fundamental challenge: as circuits get deeper, accumulated errors cause results to become unpredictable. This drift forces practitioners to run thousands of extra shots, limit circuit depth, or accept unreliable outcomes.
Traditional error correction requires massive qubit overhead—thousands of physical qubits per logical qubit. Most near-term systems can't afford that cost.
Run-to-run results fluctuate wildly, requiring excessive shot counts to extract reliable answers.
Useful algorithms require deep circuits, but coherence degrades rapidly beyond a few hundred gates.
More shots means more money. Unreliable results multiply the cost of every quantum workload.
CGS has been validated on real quantum hardware across three different architectures. These are not simulations—this is production hardware data.
| Platform | Technology | Circuit Depth | Variance Reduction |
|---|---|---|---|
| Rigetti Ankaa-3 | Superconducting | 100 – 2000 gates | 91 – 99% |
| IQM Emerald | Superconducting | 100 gates | 99.6% |
| IonQ Forte | Trapped-Ion | 100 gates | 97.8% |
Lower variance means reliable results with dramatically fewer executions.
Run circuits that were previously too deep to produce usable results.
Works across superconducting and trapped-ion architectures.
CGS is available for licensing to quantum hardware providers and enterprise users. Let's discuss how it can work for your platform.
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