Enables AI agents to create, validate, evaluate, and score quantum circuits with support for multiple hardware platforms. Provides tools for generating quantum algorithms (Bell states, Grover's, VQE), simulating circuits, checking hardware compatibility, and assessing circuit quality metrics.
Enables AI models to invoke SpinQ's quantum computing hardware resources by creating and submitting quantum circuits (QASM) to the SpinQ cloud platform for execution and results retrieval.
Enables natural language quantum computing by converting English queries to quantum circuits via OpenAI and executing them on IBM Quantum backends or simulators.
Enables quantum machine learning operations using Qiskit, including executing quantum circuits, computing quantum kernels, training variational quantum classifiers, and evaluating quantum ML models.
Enables AI agents to use a neuro-symbolic memory fabric with bi-temporal knowledge graph and holographic VSA, providing tools for adding, searching, temporal queries, auditing, and proving memories with cryptographic provenance and zero-LLM ingest.
Enables AI assistants to interact with Origin Quantum computing services through QPanda3 Runtime. Supports quantum computing tasks like circuit sampling, expectation estimation, device management, and batch operations on quantum processing units.
