QCentroid uses Tavily for live web searches in the Deep Research stage of its multi-agent quantum computing use case tool. Built with LangGraph, the tool collects business objectives and computational bottlenecks, proposes quantum computing applications and investigates their feasibility.
The research agent combines a Pinecone-backed scientific literature database with external tools including Tavily to retrieve current scientific studies. Specialized agents research proposed use cases in parallel. An evaluation layer filters sources for relevance and applicability, and the research loop refines its searches. The workflow produces feasibility reports covering scientific foundations, supporting literature, limitations and risks.
Building an AI Multi-Agent Tool for Quantum Computing Use Case Discovery
Published 12 Jan 2026 · QCentroid · Web page
QCentroid describes using Tavily for live scientific literature searches in its Deep Research agent. Its LangGraph workflow investigates quantum computing use cases and produces feasibility reports.
Building an AI Multi-Agent Tool for Quantum Computing Use Case DiscoveryPublished 12 Jan 2026 · QCentroid · Web pageQCentroid describes using Tavily for live scientific literature searches in its Deep Research agent. Its LangGraph workflow investigates quantum computing use cases and produces feasibility reports.
QCentroid develops software for businesses building and evaluating quantum and hybrid computing applications. Operated by QCENTROID LABS, S.L. in Bilbao, its QuantumOps platform supports use-case discovery, algorithm development, workflow orchestration, experiment tracking and benchmarking. Innovation teams, researchers and developers can access multiple hardware providers and simulators through a common API and SDK, compare solvers and integrate experiments with existing IT systems. Its AI tools help teams identify potential applications and produce technical feasibility reports before committing to implementation.
Documented financing · private company
Amount€1,340,118 awarded to QCENTROID LABS S.L.: €311,040 grant and €1,029,078 loanQATALYZE public research financing award — grant and loan
QCentroid introduces hybrid application design framework in QuantumOps
Quantum Computing Report reported that QCentroid introduced a framework using NVIDIA CUDA-Q to evaluate where quantum components belong within existing enterprise applications. Implemented with Gradiant and CESGA under QATALIZE, it compares hybrid architectures and execution resources against classical baselines.
QURECA embeds QCentroid into quantum training services
QURECA announced a partnership incorporating QCentroid’s QuantumOps platform into its training and use-case discovery services. Clients can identify, prioritize and test quantum use cases before committing to a proof of concept, with the partnership already live across QURECA’s engagement pathway.
QCentroid-supported Würth logistics pilot reports packaging savings
Telefónica announced results from a quantum computing and AI packaging pilot developed with TECNALIA and QCentroid for Würth España. Across more than 6,000 orders, the pilot reduced box use by 3%, truck transport volume by about 7% and cardboard consumption by more than 6%.
QCentroid offers a quantum computing platform for workflow orchestration, hardware access and algorithm benchmarking. · Infrastructure
How they use Tavily
QCentroid uses Tavily for live web searches in the Deep Research stage of its multi-agent quantum computing use case tool. Built with LangGraph, the tool collects business objectives and computational bottlenecks, proposes quantum computing applications and investigates their feasibility.
The research agent combines a Pinecone-backed scientific literature database with external tools including Tavily to retrieve current scientific studies. Specialized agents research proposed use cases in parallel. An evaluation layer filters sources for relevance and applicability, and the research loop refines its searches. The workflow produces feasibility reports covering scientific foundations, supporting literature, limitations and risks.
Building an AI Multi-Agent Tool for Quantum Computing Use Case Discovery
Published 12 Jan 2026 · QCentroid · Web page
QCentroid describes using Tavily for live scientific literature searches in its Deep Research agent. Its LangGraph workflow investigates quantum computing use cases and produces feasibility reports.
Building an AI Multi-Agent Tool for Quantum Computing Use Case DiscoveryPublished 12 Jan 2026 · QCentroid · Web pageQCentroid describes using Tavily for live scientific literature searches in its Deep Research agent. Its LangGraph workflow investigates quantum computing use cases and produces feasibility reports.
QCentroid develops software for businesses building and evaluating quantum and hybrid computing applications. Operated by QCENTROID LABS, S.L. in Bilbao, its QuantumOps platform supports use-case discovery, algorithm development, workflow orchestration, experiment tracking and benchmarking. Innovation teams, researchers and developers can access multiple hardware providers and simulators through a common API and SDK, compare solvers and integrate experiments with existing IT systems. Its AI tools help teams identify potential applications and produce technical feasibility reports before committing to implementation.
Documented financing · private company
Amount€1,340,118 awarded to QCENTROID LABS S.L.: €311,040 grant and €1,029,078 loanQATALYZE public research financing award — grant and loan
QCentroid introduces hybrid application design framework in QuantumOps
Quantum Computing Report reported that QCentroid introduced a framework using NVIDIA CUDA-Q to evaluate where quantum components belong within existing enterprise applications. Implemented with Gradiant and CESGA under QATALIZE, it compares hybrid architectures and execution resources against classical baselines.
QURECA embeds QCentroid into quantum training services
QURECA announced a partnership incorporating QCentroid’s QuantumOps platform into its training and use-case discovery services. Clients can identify, prioritize and test quantum use cases before committing to a proof of concept, with the partnership already live across QURECA’s engagement pathway.
QCentroid-supported Würth logistics pilot reports packaging savings
Telefónica announced results from a quantum computing and AI packaging pilot developed with TECNALIA and QCentroid for Würth España. Across more than 6,000 orders, the pilot reduced box use by 3%, truck transport volume by about 7% and cardboard consumption by more than 6%.
