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Silicon Quantum Computing (SQC) and Schneider Electric report that forecasts improved by an average of 20% when SQC’s Watermelon system added quantum-generated features to a classical forecasting model. The reported best gain was 41%—not the average. The Stage 1 result is preliminary and has not been independently validated in the sources reviewed.
How much better were the forecasts?
For a 12-month period of next-day forecasting data, SQC and Schneider Electric report an average 20% improvement in forecasting accuracy compared with their classical benchmark, with the best reported gain reaching 41%. Both figures are relative improvements against that benchmark; they are not percentage-point changes in accuracy. The 41% figure is the maximum reported result, not the average.
The partners’ October 2, 2026 announcement does not name the accuracy metric, explain the benchmark in enough detail to assess it, identify the number of homes in the Stage 1 dataset, or provide a full validation protocol or uncertainty estimate. The figures therefore describe the companies’ reported project result, not a result independently established by the available sources. SQC’s announcement supplies the figures; Interesting Engineering’s coverage repeats them as project-reported results.
What is SQC’s Watermelon system?
SQC describes Watermelon as an atomically engineered quantum-enhanced AI chip. In this project, it generated quantum features that Schneider Electric’s forecasting models used alongside classical features. That makes the approach hybrid: quantum-generated inputs augment a conventional model rather than replacing classical computing or the forecasting workflow.
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The distinction matters because the reported gain applies to this combined system and its benchmark comparison. The announcement does not establish that quantum hardware alone produced the forecasts, or that Watermelon will improve every forecasting task by the same amount.
What does the result establish—and what remains unknown?
The disclosed account establishes that the partners evaluated next-day forecasts across 12 months of data and compared the Watermelon-assisted approach with a classical benchmark. It does not provide enough methodological detail to judge how the benchmark was configured, how data were divided for evaluation, which accuracy measure was used, or how well the result would generalize to other homes or conditions.
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Accordingly, the reported accuracy gains are not evidence of lower household energy bills or a demonstrated grid-wide benefit. The companies say more accurate forecasts could help manage distributed energy resources as rooftop solar, home batteries, and electric vehicles make household energy patterns more dynamic. Those are potential applications, not outcomes measured in the Stage 1 forecasting test.
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What happens in Stage 2?
The project has advanced to Stage 2 of the Australian Government’s Critical Technologies Challenge Program, with A$3.6 million in funding and UNSW Sydney as a project partner. The announced next stage is intended to expand modeling to hundreds of homes across Australia and integrate the SQC Watermelon system into Schneider Electric’s AI workflows.
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Those are planned activities, not a completed larger deployment. The announcement does not establish a schedule, subsequent performance, or rollout beyond the project. SQC founder and CEO Michelle Simmons characterized the result as an example of quantum processors working alongside CPUs and GPUs to address practical energy-sector and time-series problems; that is the company’s interpretation of its reported result, not independent confirmation.
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- INSTALLS IN CIRCUIT PANEL of most homes with clamp-on sensors. Supports Single phase, Single-split phase, and 2-wire systems. 3-wire systems; 3-phase, 4-wire Wye systems with earthed (TN or TT) neutral (no-Delta) are supported with an additional 200A sensor (sold separately).
- 24/7 ENERGY MANAGEMENT AND MONITORING: Automate, manage and control your home's real power anywhere, anytime to prevent costly repairs, conserve energy, and save costs. Monitor solar / net metering. PROTECTED BY A 1-YEAR WARRANTY.
- LOWER YOUR ELECTRIC BILL: Configure settings in the Emporia Energy App to automate energy management for time of use, peak demand, excess solar, and rewards programs. You can even see live reporting and invaluable savings opportunities instantly. Gauge real-time spending and get actionable notifications and automated energy management to help you reduce costs.
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