3 citations · 7 across the 7 of their papers we have counts for
5 papers · 1 filter
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
Zhiding Liang, Gang Liu, Zheyuan Liu +8
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that hav…
Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation
Peiyi Li, Ji Liu, Hrushikesh Pramod Patil +2
Virtual distillation is a technique that aims to mitigate errors in noisy quantum computers. It works by preparing multiple copies of a noisy quantum state, bridging them through a…
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…
Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis
Ji Liu, Ed Younis, Mathias Weiden +3
We propose a novel hierarchical qubit mapping and routing algorithm. First, a circuit is decomposed into blocks that span an identical number of qubits. In the second stage permuta…
Efficient Quantum Circuit Cutting by Neglecting Basis Elements
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li +7
Quantum circuit cutting has been proposed to help execute large quantum circuits using only small and noisy machines. Intuitively, cutting a qubit wire can be thought of as classic…