19 citations · 43 across the 10 of their papers we have counts for
11 papers
Quantum Compiler Design for Fault-Tolerant Quantum Computing
Chenghong Zhu, Jiahan Chen, Keming He +9
Scalable quantum computation is expected to rely on fault-tolerant quantum computation (FTQC), in which quantum error correction (QEC) suppresses physical errors sufficiently to su…
Enabling Full-Stack Quantum Computing with Changeable Error-Corrected Qubits
Anbang Wu, Keyi Yin, Andrew W. Cross +2
Executing quantum applications with quantum error correction (QEC) faces the gate non-universality problem imposed by the Eastin-Knill theorem. As one resource-time-efficient solut…
MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets
Hezi Zhang, Keyi Yin, Anbang Wu +3
Chiplet architecture is an emerging architecture for quantum computing that could significantly increase qubit resources with its great scalability and modularity. However, as the…
OneQ: A Compilation Framework for Photonic One-Way Quantum Computation
Hezi Zhang, Anbang Wu, Yuke Wang +4
In this paper, we propose OneQ, the first optimizing compilation framework for one-way quantum computation towards realistic photonic quantum architectures. Unlike previous compila…
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering
Anbang Wu, Yufei Ding, Ang Li
The noisy and lengthy nature of quantum communication hinders the development of distributed quantum computing. The inefficient design of existing compilers for distributed quantum…
AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs
Anbang Wu, Hezi Zhang, Gushu Li +3
Distributed quantum computing (DQC) is a promising approach to extending the computational power of near-term quantum devices. However, the non-local quantum communication between…
Towards Efficient Ansatz Architecture for Variational Quantum Algorithms
Anbang Wu, Gushu Li, Yuke Wang +3
Variational quantum algorithms are expected to demonstrate the advantage of quantum computing on near-term noisy quantum computers. However, training such variational quantum algor…
Mapping Surface Code to Superconducting Quantum Processors
Anbang Wu, Gushu Li, Hezi Zhang +3
In this paper, we formally describe the three challenges of mapping surface code on superconducting devices, and present a comprehensive synthesis framework to overcome these chall…
QECV: Quantum Error Correction Verification
Anbang Wu, Gushu Li, Hezi Zhang +3
Quantum Error Correction (QEC) is essential for fault-tolerant quantum copmutation, and its implementation is a very sophisticated process involving both quantum and classical hard…
Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training
Anbang Wu, Gushu Li, Yufei Ding +1
Variational quantum algorithms are expected to demonstrate the advantage of quantum computing on near-term noisy quantum computers. However, training such variational quantum algor…
Paulihedral: A Generalized Block-Wise Compiler Optimization Framework For Quantum Simulation Kernels
Gushu Li, Anbang Wu, Yunong Shi +3
The quantum simulation kernel is an important subroutine appearing as a very long gate sequence in many quantum programs. In this paper, we propose Paulihedral, a block-wise compil…