9 citations · 13 across the 3 of their papers we have counts for
3 papers
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Superstaq: Deep Optimization of Quantum Programs
Colin Campbell, Frederic T. Chong, Denny Dahl +21
We describe Superstaq, a quantum software platform that optimizes the execution of quantum programs by tailoring to underlying hardware primitives. For benchmarks such as the Berns…
Clifford-based Circuit Cutting for Quantum Simulation
Kaitlin N. Smith, Michael A. Perlin, Pranav Gokhale +5
Quantum computing has potential to provide exponential speedups over classical computing for many important applications. However, today's quantum computers are in their early stag…