Cobble is a domain-specific language for quantum block encodings that compiles high-level matrix expressions to optimized circuits using analyses and quantum singular value transformation, achieving 2.6x-25.4x speedups over unoptimized baselines on benchmarks.
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Dual-register encoding enables coined quantum walks on degree-varying complex networks with circuit depth scaling as N^1.9, shown via simulations on standard models and small IBM hardware executions.
An experience report describes a modular course that enables students with minimal quantum exposure to work productively on quantum software engineering topics using executable artifacts and empirical reasoning.
QDSV is a semantic multi-backend framework for quantum-oriented computation that maintains stable representations across simulators and hardware in an EEG classification case study on Bonn and Delhi datasets.
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Cobble: Compiling Block Encodings for Quantum Computational Linear Algebra
Cobble is a domain-specific language for quantum block encodings that compiles high-level matrix expressions to optimized circuits using analyses and quantum singular value transformation, achieving 2.6x-25.4x speedups over unoptimized baselines on benchmarks.
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QDSV: A Semantic Problem Representation and Multi-Backend Execution Framework for Quantum-Oriented Computation
QDSV is a semantic multi-backend framework for quantum-oriented computation that maintains stable representations across simulators and hardware in an EEG classification case study on Bonn and Delhi datasets.