Quantum Machines Integrates with NVIDIA NVQLink for µs-Latency GPU-QPU Computing

Quantum Machines' OPX platform now supports NVIDIA NVQLink, enabling deterministic µs-latency GPU-QPU integration via CUDA-Q. Builds on DGX Quantum (2023); existing users upgrade without hardware changes. Demonstrated at NVIDIA GTC DC.

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Cluster-Adaptive Sample-Based Quantum Diagonalization (CSQD) for Strongly Correlated Systems

CSQD improves hybrid quantum-classical diagonalization by using unsupervised clustering for mode-aware particle-number recovery, lowering ground-state energy estimates by up to 45.53 mHa vs. standard SQD on iron-sulfur and N₂ benchmarks.

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WTHaar-Net: Haar Wavelet Transform for Hybrid Quantum-Classical CNNs

WTHaar-Net replaces Hadamard mixing with Haar wavelets in hybrid quantum-classical CNNs, cutting MACs by 44% and surpassing ResNet on Tiny-ImageNet. Validated on IBM Quantum 127-qubit hardware with 4-qubit circuits.

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