Using a quantum computer to cluster data points
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Updated
Mar 3, 2026 - Python
Using a quantum computer to cluster data points
Policy-controlled NVIDIA CUDA-Q execution with resource preflight, target guardrails, diagnostics, backend comparison, and tamper-evident audit trails.
VQE on photonic quantum devices
Simulate Kibble-Zurek mechanism on a quantum computer.
AstraQPU is a virtual QPU runtime for architecture aware scheduling, control, and hardware in the loop execution. It models QPU architecture specs, native instruction scheduling, timing constraints, telemetry, and serial MCU backed control planes for prototyping quantum systems software. Hope you find it interesting :)
Showcases performance improvements of an Advantage2 system, relative to an Advantage system.
Audit IBM Quantum Instance usage workload and circuit-level evidence.
Reproducible 60-qubit HCS-inspired QPU certification with public QASM, finite-shot analysis, tests, and Zenodo DOI: 10.5281/zenodo.21724982
Container-native CI/CD quality gates for quantum circuits: statistically validate the probabilistic output of quantum programs across simulators and real QPUs, as declarative YAML, with drop-in exit-code gating.
Server-side software for the Open Shots Repository
WestQuant QCSC — Semantic QPU Minimization + QPU Budget Predictor for hybrid quantum-classical workflows
WestQuant Open — Search the representation, not just the parameters
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