3 citations · 6 across the 11 of their papers we have counts for
13 papers
Demand-Driven Routing Space for Lattice-Surgery Compilation
Hanyu Wang, Wan-Hsuan Lin, Zihan Chen +2
Lattice-surgery compilation places logical qubits on a grid of surface-code tiles and routes their interactions. Sparse static layouts limit routing contention but reserve space th…
Linear Complexity Fermionic Simulation on Quantum Devices with Hardware Connectivity Constraints
Xiangyu Gao, Winston Li, Jiakang Li +4
Simulating fermionic systems on quantum hardware requires compiling fermionic Hamiltonians into executable quantum circuits. Existing approaches treat each compilation stage indepe…
HyQBench: A Benchmark Suite for Hybrid CV-DV Quantum Computing
Shubdeep Mohapatra, Yuan Liu, Eddy Z. Zhang +1
Hybrid continuous-variable (CV)-discrete-variable (DV) quantum systems present a promising direction for quantum computing by combining the high dimensional encoding capabilities o…
A Cyclic Layerwise QAOA Training
Enhyeok Jang, Zihan Chen, Dongho Ha +6
The quantum approximate optimization algorithm (QAOA) is a hybrid quantum-classical algorithm for solving combinatorial optimization problems. Multi-angle QAOA (MA-QAOA), which ass…
Leveraging Phase Polynomials for Quantum Circuit Optimization
Zihan Chen, Henry Chen, Yuwei Jin +5
Quantum circuits on resource-limited hardware require optimizing regions dominated by , which account for a large fraction of operations and often dominate…
Genesis: A Compiler Framework for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers
Zihan Chen, Jiakang Li, Minghao Guo +7
This paper introduces Genesis, the first compiler designed to support Hamiltonian Simulation on hybrid continuous-variable (CV) and discrete-variable (DV) quantum computing systems…
A Case for Quantum Circuit Cutting for NISQ Applications: Impact of topology, determinism, and sparsity
Zirui Li, Minghao Guo, Mayank Barad +3
We make the case that variational algorithm ansatzes for near-term quantum computing are well-suited for the quantum circuit cutting strategy. Previous demonstrations of circuit cu…
Optimizing Quantum Fourier Transformation (QFT) Kernels for Modern NISQ and FT Architectures
Yuwei Jin, Xiangyu Gao, Minghao Guo +4
Rapid development in quantum computing leads to the appearance of several quantum applications. Quantum Fourier Transformation (QFT) sits at the heart of many of these applications…
Linear Depth QFT over IBM Heavy-hex Architecture
Xiangyu Gao, Yuwei Jin, Minghao Guo +2
Compiling a given quantum algorithm into a target hardware architecture is a challenging optimization problem. The compiler must take into consideration the coupling graph of physi…
Quantum Fourier Transformation Circuits Compilation
Yuwei Jin, Xiangyu Gao, Minghao Guo +4
In this research paper, our primary focus revolves around the domain-specific hardware mapping strategy tailored for Quantum Fourier Transformation (QFT) circuits. While previous a…
Multi-mode Cavity Centric Architectures for Quantum Simulation
Samuel Stein, Fei Hua, Chenxu Liu +6
Near-term quantum computing technologies grapple with huge complexity overheads, hindering their ability to induce algorithms, necessitating engineering and scientific innovations.…
Tetris: A Compilation Framework for VQA Applications in Quantum Computing
Yuwei Jin, Zirui Li, Fei Hua +4
Quantum computing has shown promise in solving complex problems by leveraging the principles of superposition and entanglement. Variational quantum algorithms (VQA) are a class of…
QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices
Fei Hua, Meng Wang, Gushu Li +8
The success of a quantum algorithm hinges on the ability to orchestrate a successful application induction. Detrimental overheads in mapping general quantum circuits to physically…