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Reducing quantum and classical resources for quantum-centric supercomputing workloads on near-term hardware
Maxence Grandadam, Vladyslav Bohun, Dikshant Dulal +1
Sample-based Krylov quantum diagonalization (SKQD) is a paradigmatic example of a quantum-centric supercomputing workflow that combines the convergence structure of Krylov quantum…
Enhancing Quantum Diffusion Models for Complex Image Generation
Jeongbin Jo, Santanam Wishal, Shah Md Khalil Ullah +2
Quantum generative models offer a novel approach to exploring high-dimensional Hilbert spaces but face significant challenges in scalability and expressibility when applied to mult…
Accelerating Transpilation in Quantum Machine Learning with Haiqu's Rivet-transpiler
Aleksander Kaczmarek, Dikshant Dulal
Transpilation is a crucial process in preparing quantum circuits for execution on hardware, transforming virtual gates to match device-specific topology by introducing swap gates a…
Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test
Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov +2
In the context of Noisy Intermediate-Scale Quantum (NISQ) computing, parameterized quantum circuits (PQCs) represent a promising paradigm for tackling challenges in quantum sensing…