Hierarchical Unified Graph Representation for quantum and classical programs

The TKET quantum compiler

Python client for the Quantinuum Nexus Quantum Computing Platform

In this work, we use LR-QAOA protocol as an easy-to-implement scalable benchmarking methodology that assesses quantum processing units (QPUs) at different widths (number of qubits) and 2-qubit gate depths.

pytket-phir is a circuit analyzer and translator from pytket to PHIR.

PHIR (PECOS High-level Intermediate Representation) Spec and data model

A tool for converting HUGR to QIR

QIR to Quantinuum QIS Translator

Realtime GPU decoding with Guppy

Microsoft Azure Quantum is Microsoft's cloud quantum computing service — an open, multi-vendor platform that provides access to quantum hardware from IonQ, Quantinuum, Pasqal, and Rigetti alongside Microsoft's own Q# programming language, Quantum Development Kit (QDK), and post-layout fault-tolerant Resource Estimator. The Azure Quantum Workspace…

Quantum-powered ESG portfolio optimization using QAOA on Quantinuum hardware.

A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.

quantium dashboard

15-qubit Loschmidt-echo protocol for benchmarking mid-circuit measurements on near-term quantum hardware. Includes exact state-vector simulation, H2-1 calibrated surrogate noise modeling, and 400-shot Quantinuum emulator validation via Azure Quantum