A platform-agnostic quantum runtime framework
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Updated
Sep 25, 2026 - Python
A platform-agnostic quantum runtime framework
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
The quantum substrate of the Neura Parse stack — one IR across gate, neutral-atom, photonic-CV and pulse modalities; fault-tolerant promotion (surface · BB qLDPC · Gidney–Shutty cultivation); AI-augmented compilation; ed25519-signed manifests with offline-verifiable hash chains.
MIT-iQuHACK-2025-IonQ-Team7 by Mauro Risonho de Paula Assumpção
Project on studying Open Quantum System Models and simulating them using OQC Lucy Hardware.
Participant kit for the qBraid Vault Challenge: rulebook, walkthrough notebook, and client.
Early Volatility Regime Detection with Fixed Quantum Reservoirs
AI coding assistant for qBraid JupyterLab
Quantum circuit experiments and fast implementations using Qiskit.
LLM-driven evolutionary search that discovers a better qubit-layout heuristic than the one it starts with, measured by the two-qubit gate count Qiskit emits after routing. Runs on the qBraid AI Gateway or your own GPU.
Real quantum capabilities for Kannaka via qBraid — CLI bridge + MCP server (run circuits, quantum RNG, amplitude-amplification resonance recall)
Hybrid quantum reservoir computing for SPY volatility forecasting — a fixed quantum reservoir learns the residual a GARCH prior misses, executed on real IQM Emerald and QuEra Aquila hardware via qBraid. Team Quanties · GIC 2026 (Track A).
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