Silicon Quantum Computing (SQC) and Schneider Electric say a Stage 1 test of SQC’s Watermelon hybrid quantum-classical system improved next-day home-energy forecasting accuracy by an average of 20% against a classical benchmark, with the best reported gain reaching 41%. Those are project-partner figures, not independent validation, and the announcement does not identify the accuracy metric or provide enough methodology to reproduce the result.
What the test found
The partners applied Watermelon-assisted modeling to 12 months of next-day forecasting data. SQC describes Watermelon as an atomically engineered quantum-enhanced AI chip. In this project it generated quantum features that were used alongside ordinary classical features; it did not replace conventional computing.
| Reported result | What it means |
|---|---|
| 20% average improvement | The partners’ reported average relative improvement in forecasting accuracy versus their classical benchmark. |
| Up to 41% improvement | The largest reported gain in the evaluated cases, not the average result or a guaranteed outcome for every home. |
| 12 months of data | The period covered by the next-day forecasting evaluation. |
Because the announcement uses relative-improvement language, these figures do not mean accuracy rose by 20 or 41 percentage points. The sources do not state whether accuracy was measured with mean absolute error, root-mean-square error, another metric, or a combination of measures.
How Watermelon fits into the forecasting system
A hybrid workflow
Watermelon supplies quantum-generated features to a model that also receives classical features and runs within a conventional computing workflow. The claimed comparison is therefore between a Watermelon-assisted hybrid model and the project’s classical benchmark, rather than between a quantum computer and all classical hardware.
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#1 Best Overall
- SAFETY YOU CAN TRUST WITH UL CERTIFICATION: With Emporia Energy, your home energy monitoring is safe, reliable, and certified. The Emporia Vue is UL Listed, meaning it has met rigorous safety standards for electrical products in the U.S. and Canada. This certification ensures that every component has been thoroughly tested to prevent hazards, such as overheating, short-circuiting, or fire, offering you peace of mind as you manage your home’s energy consumption.
- 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.
- REAL-TIME ENERGY DATA: REQUIRES 2.4 GHz WIFI WITH AN INTERNET CONNECTION to monitor energy use with iPhone / Android / Web app. Vue sensors collect energy data and are accurate from ±2%. The Vue is UL and CE Listed for your safety. 1 second data is only available in the app (when actively open) and retained 3 hours. Minute and hour data are retained in the cloud. 1 minute data is retained 7 days, 1 hour data is retained indefinitely. Export cloud data whenever you want in the app.
Why features matter for household energy
Forecasting household demand is difficult because usage changes with weather, occupancy, rooftop solar production, batteries, electric-vehicle charging and other household decisions. Additional features could help a model represent patterns that a classical setup misses, but the Stage 1 announcement does not show which features were generated, how they were selected, or which types of homes benefited most.
How strong is the evidence?
This is a preliminary, company-reported Stage 1 result. Silicon Quantum Computing and Schneider Electric disclose the evaluation period and the comparison with a classical benchmark, but not the number of homes in the Stage 1 dataset, data-splitting procedure, baseline configuration, uncertainty interval, or detailed test protocol. No independent replication or peer-reviewed validation is identified in the available coverage.
Rank #2
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Accordingly, the 41% number should be read as the reported maximum under the project’s test conditions. It is not evidence of a universal 41% improvement, a reduction in household electricity bills, or a demonstrated grid-wide benefit.
What happens in Stage 2
The project has advanced to Stage 2 of the Australian Government’s Critical Technologies Challenge Program. SQC says the stage includes A$3.6 million in funding and a partnership with UNSW Sydney.
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Planned expansion
- Extend modeling to hundreds of homes across Australia.
- Integrate Watermelon directly into Schneider Electric’s AI workflows.
- Assess the system at a larger operational scale rather than presenting the Stage 1 test as a completed deployment.
The partners have not yet supplied a schedule, deployment results, or Stage 2 performance figures. Future claims will be easier to assess if they report the same dataset definitions, forecast horizon, accuracy metric, validation protocol and computational cost for both hybrid and classical systems.
Why better forecasts could matter
More accurate forecasts could potentially help operators coordinate distributed energy resources such as rooftop solar, home batteries and electric vehicles as household energy patterns become more variable. Those are possible downstream applications, not outcomes measured in the Stage 1 forecasting test. The announcement does not establish that the trial changed grid operations, reduced costs or improved any household’s energy bill.
Rank #4
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- MAXIMIZE YOUR SOLAR SAVINGS (HOME ASSISTANT): This solar energy monitor integrates with Home Assistant to detect solar surplus and automatically power EV chargers, water heaters, and other high‑use appliances. Stop wasting solar energy—use it yourself and cut your electricity bill faster. The perfect home energy monitor for solar homes.
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What SQC says
“We have always believed that quantum processors would work alongside CPUs and GPUs to deliver real-world performance gains. The results we have achieved with Schneider Electric demonstrate how quantum-enhanced AI can address practical challenges across the energy sector and time-series datasets more broadly,” said Michelle Simmons, founder and CEO of Silicon Quantum Computing, in the company’s October 2, 2026 announcement.
That statement is SQC’s characterization of the project. It is not independent confirmation of the reported accuracy gains.
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- SAFETY YOU CAN TRUST WITH UL CERTIFICATION: With Emporia Energy, your home energy monitoring is safe, reliable, and certified. The Emporia Vue is UL Listed, meaning it has met rigorous safety standards for electrical products in the U.S. and Canada. This certification ensures that every component has been thoroughly tested to prevent hazards, such as overheating, short-circuiting, or fire, offering you peace of mind as you manage your home’s energy consumption.
- 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.
- REAL-TIME ENERGY DATA: REQUIRES 2.4 GHz WIFI WITH AN INTERNET CONNECTION to monitor energy use with iPhone / Android / Web app. Vue sensors collect energy data and are accurate from ±2%. The Vue is UL and CE Listed for your safety. 1 second data is only available in the app (when actively open) and retained 3 hours. Minute and hour data are retained in the cloud. 1 minute data is retained 7 days, 1 hour data is retained indefinitely. Export cloud data whenever you want in the app.
Is Watermelon available to buy?
The available information describes an enterprise research system, not a consumer product with a retail listing. There is no established consumer purchase, affiliate offer or verified partner program associated with this trial. Readers should not assume that a household can buy the tested chip or install the forecasting system.
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