
Rigetti Computing to Report Second Quarter 2026 Financial Results on August 6
THE SO WHAT
For quantum vendors, earnings calls are now as much about commercialization timelines and real workloads as about qubit counts. If you’re piloting with any quantum provider, use these updates to pressure-test their runway and roadmap against your own deployment horizon.
READ THE SOURCE
MORE FROM THE WIRE
Deep & Emerging TechCATL’s First-Half Profit Jumps 42% on Energy Storage Tailwind
A 42% profit jump at CATL driven by energy storage demand says the grid, not just EVs, is now a primary growth engine for batteries. Infra and data center operators should assume storage pricing and availability will be set by utility-scale buyers, not automotive cycles.
Deep & Emerging TechQuantum Materials Engineering – The Atoms Powering Quantum Computing
The focus on superconducting metals, ultra‑pure silicon, and exotic materials underlines that quantum’s bottleneck is increasingly in materials engineering, not just algorithms. If you’re betting on quantum, your risk map should include supply chains and fabrication capabilities for these substrates.
Deep & Emerging TechSamsung, SK Hynix to Ink Large Chip Supply Deals With US Firms
Samsung and SK Hynix locking in “very large” chip supply deals with US tech companies during a state visit is industrial policy by other means—capacity is being politically allocated years out. If you’re not in these forward contracts, assume tighter spot markets and longer lead times for advanced memory.
Deep & Emerging TechWISER and E.ON Advance Energy Demand Forecasting with Quantum Machine Learning
Quantum–classical hybrids creeping into energy demand forecasting are an early test of where quantum might actually beat classical ML in production. Utilities and grid operators should start logging which forecasting problems are compute- or accuracy-bottlenecked today so they know where to plug in these stacks if they mature.