8 citations · 8 across the 4 of their papers we have counts for
4 papers
Quantum-Inspired Contextual Learning for Sparse-Ring Fraud Detection in Dynamic Transaction Graphs
Behnam Tonekaboni, Hiroshi Yamauchi
We present an exploratory benchmark and quantum-inspired modeling prototype for fraud screening in dynamic financial transaction graphs. Coordinated fraud may not be visible from i…
Quantum-Enhanced Processing with Tensor-Network Frontends for Privacy-Aware Federated Medical Diagnosis
Hiroshi Yamauchi, Anders Peter Kragh Dalskov, Hideaki Kawaguchi +1
We propose a privacy-aware hybrid framework for federated medical image classification that combines tensor-network representation learning, MPC-secured aggregation, and post-aggre…
Tensor-based quantum phase difference estimation for large-scale demonstration
Shu Kanno, Kenji Sugisaki, Hajime Nakamura +5
We develop an energy calculation algorithm leveraging quantum phase difference estimation (QPDE) scheme and a tensor-network-based unitary compression method in the preparation of…
Parametrized Energy-Efficient Quantum Kernels for Network Service Fault Diagnosis
Hiroshi Yamauchi, Tomah Sogabe, Rodney Van Meter
In quantum kernel learning, the primary method involves using a quantum computer to calculate the inner product between feature vectors, thereby obtaining a Gram matrix used as a k…