Two quantum technology conferences are scheduled for the upcoming month: Q+AI and PQC+IQT. Further details pending.

Two quantum technology conferences are scheduled for the upcoming month: Q+AI and PQC+IQT. Further details pending.
SQC's Watermelon quantum reservoir computer delivers breakthrough results: Telstra cut AI training time from weeks to days, while Schneider Electric achieved 41% accuracy improvement in energy forecasting—all with reduced computational resources.
Haiqu's AgenticOS uses AI agents to validate quantum research findings at each step, preventing subtle calculation errors. Demonstrates 75% circuit depth reduction in Hubbard model simulations on IBM quantum hardware with formal verification.
Over 2,500 participants at Bitkom's AI, Data & Quantum Summit in Berlin explored how AI technologies are increasingly integrated into quantum computing development and research applications.
"Commercial traction is still in early innings, but we expect rising adoption in CY27+ as quantum error correction features are introduced," Sankar added. "Key risks include competition from the ion trap modality and additional funding needs in 2028+."
This arXiv paper proposes vFedProtoQNAS, a federated learning approach where clients train device-specific quantum neural networks and share class prototypes instead of model parameters. It targets…
#QuantumAI #FederatedLearning #EdgeAI #NeuralArchitectureSearch
https://arxiv.org/abs/2610.01718
Qingxing Heterogeneous Computing raised nearly 100 million yuan to develop quantum-inspired AI. Their RiverONE model achieves ~95% performance parity of larger models while executing on conventional GPUs, representing efficiency gains in AI deployment.
Azulene Labs raised $3.4M for AI models trained on quantum-mechanical data for molecular simulation, achieving 100× computational efficiency and 200× cost reduction while ensuring physically accurate predictions for drug discovery and materials.
IonQ demonstrated what it calls the “industry’s first end-to-end real-time quantum error correction decoder” running on a single standard CPU, a milestone aimed at removing a key bottleneck in fault-tolerant quantum computing.
Yenepoya University and REYRA AI establish Quantum AI Catalyst Lab for quantum-inspired AI hardware accelerators and certification programs, targeting applications in healthcare, medical imaging, and optimization.
Yenepoya University and Edutecnicia's REYRA AI initiative signed an MoU to establish collaborative research, training, and innovation programs in quantum computing and quantum-inspired AI.
OQC, Citi, and NQCC demonstrated quantum compression techniques that substantially reduce neural network parameters while maintaining pricing accuracy—a key step toward scalable quantum-AI systems for financial modeling.
Pasqal partners with LG CNS to deploy neutral-atom QPUs in AI data centers across APAC. The three-year collaboration integrates hybrid quantum-classical computing for enterprise AI workloads, anchoring Pasqal's regional operations in South Korea.
The Global Quantum + AI Challenge progresses to Phase 2 after attracting over 1,000 entrants worldwide to address practical enterprise problems. Finalists will be selected by jury and enterprise partners.
Generative AI eliminates circuit parameter-tuning bottlenecks in quantum optimization, achieving constant 28-second synthesis time vs. 11+ minutes for traditional approaches while doubling solution quality on HUBO problems.
IonQ secured 15% of IEEE Quantum Week's best paper awards for breakthroughs in AI-hybrid quantum computing and protein folding simulations using trapped-ion systems, demonstrating practical quantum utility across optimization and drug discovery.
Q+AI 2026 (Oct 25-27, NYC) features an interactive speaker finder word search puzzle. Keynotes on Quantum+AI with major sponsors SEALSQ, C12, and QCi. Early registration and sponsorship opportunities available.
SQC's Watermelon chip brings quantum reservoir computing to enterprise AI, reducing energy consumption and enabling pattern discovery in complex datasets while integrating seamlessly with existing datacenter infrastructure.
Multiverse Computing integrated quantum-generated data from IBM's 156-qubit Heron processor into its Quasar 1.1 AI model, achieving 37.6% token reduction and improved benchmark performance. A first for quantum data in AI training pipelines.
Quandela and NVIDIA published a technical framework for integrating photonic quantum processors into AI and HPC environments, demonstrating low-latency integration capabilities for practical quantum-classical workflows.