Domain-Specific Compilers for Dynamic Simulations of Quantum Materials on Quantum Computers
Lindsay Bassman, Sahil Gulania, Connor Powers, Rongpeng Li, Thomas, Linker, Kuang Liu, T. K. Satish Kumar, Rajiv K. Kalia, Aiichiro Nakano, and, Priya Vashishta

TL;DR
This paper introduces two domain-specific quantum circuit compilers tailored for simulating quantum material dynamics on NISQ computers, achieving significant circuit size and time reductions over general-purpose compilers, thus enabling more complex simulations.
Contribution
The paper presents novel domain-specific compilers for quantum simulations that outperform general-purpose compilers in size and speed, tailored for specific Hamiltonians on NISQ devices.
Findings
Circuit size reduced by 25-30%
Compilation time decreased by around 40%
Enables more complex dynamic simulations on NISQ computers
Abstract
Simulation of the dynamics of quantum materials is emerging as a promising scientific application for noisy intermediate-scale quantum (NISQ) computers. Due to their high gate-error rates and short decoherence times, however, NISQ computers can only produce high-fidelity results for those quantum circuits smaller than some given circuit size. Dynamic simulations, therefore, pose a challenge as current algorithms produce circuits that grow in size with each subsequent time-step of the simulation. This underscores the crucial role of quantum circuit compilers to produce executable quantum circuits of minimal size, thereby maximizing the range of physical phenomena that can be studied within the NISQ fidelity budget. Here, we present two domain-specific quantum circuit compilers for the Rigetti and IBM quantum computers, specifically designed to compile circuits simulating dynamics under a…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
