6 papers · 1 filter
Accelerating State-Vector Quantum Simulation on Integrated GPUs via Cache Locality Optimization: A Cross-Architecture Evaluation
Gabriel Fernandes Thomaz, Jerusa Marchi, Eduarda Rodrigues Monteiro +2
The classical simulation of quantum algorithms is a crucial tool for circuit development, testing, and validation. Although acceleration using GPUs significantly reduces simulation…
Optimizing Quantum Compilation via High-Level Quantum Instructions
Evandro C. R. Rosa, Jerusa Marchi, Eduardo I. Duzzioni +1
Current quantum programming is dominated by low-level, circuit-centric approaches that limit the potential for compiler optimization. This work presents how a high-level programmin…
Full Quantum Stack: Ket Platform
Evandro Rosa, Eduardo Lussi, Jerusa Marchi +1
As quantum computing hardware continues to scale, the need for a robust software infrastructure that bridges the gap between high-level algorithm development and low-level physical…
Quantum Gate Decomposition: A Study of Compilation Time vs. Execution Time Trade-offs
Evandro C. R. Rosa, Jerusa Marchi, Eduardo I. Duzzioni +1
Similar to classical programming, high-level quantum programming languages generate code that cannot be executed directly by quantum hardware and must be compiled. However, unlike…
Optimizing Gate Decomposition for High-Level Quantum Programming
Evandro C. R. Rosa, Eduardo I. Duzzioni, Rafael de Santiago
This paper presents novel methods for optimizing multi-controlled quantum gates, which naturally arise in high-level quantum programming. Our primary approach involves rewriting $U…
Automated Auxiliary Qubit Allocation in High-Level Quantum Programming
Evandro C. R. Rosa, Jerusa Marchi, Eduardo I. Duzzioni +1
We present a method for optimizing quantum circuit compilation by automating the allocation of auxiliary qubits for multi-qubit gate decompositions. This approach is implemented an…