QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices
- URL: http://arxiv.org/abs/2308.07581v1
- Date: Tue, 15 Aug 2023 05:51:41 GMT
- Title: QASMTrans: A QASM based Quantum Transpiler Framework for NISQ Devices
- Authors: Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng,
Samuel Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li
- Abstract summary: QASMTrans is a high-performance C++ quantum transpiler framework.
It demonstrates up to 369X speedups compared to the commonly used Qiskit transpiler.
We observe speedups on large dense circuits such as uccsd_n24 and qft_n320 which require O(106) gates.
- Score: 21.754509371275823
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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 implementable routines can be the deciding
factor between a successful and erroneous circuit induction. In QASMTrans, we
focus on the problem of rapid circuit transpilation. Transpilation plays a
crucial role in converting high-level, machine-agnostic circuits into
machine-specific circuits constrained by physical topology and supported gate
sets. The efficiency of transpilation continues to be a substantial bottleneck,
especially when dealing with larger circuits requiring high degrees of
inter-qubit interaction. QASMTrans is a high-performance C++ quantum transpiler
framework that demonstrates up to 369X speedups compared to the commonly used
Qiskit transpiler. We observe speedups on large dense circuits such as
uccsd_n24 and qft_n320 which require O(10^6) gates. QASMTrans successfully
transpiles the aforementioned circuits in 69s and 31s, whilst Qiskit exceeded
an hour of transpilation time. With QASMTrans providing transpiled circuits in
a fraction of the time of prior transpilers, potential design space
exploration, and heuristic-based transpiler design becomes substantially more
tractable. QASMTrans is released at http://github.com/pnnl/qasmtrans.
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