Temporal Planning for Compilation of Quantum Approximate Optimization Circuits

Author:

Venturelli Davide12,Do Minh13,Rieffel Eleanor1,Frank Jeremy1

Affiliation:

1. NASA Ames Research Center

2. USRA Research Institute for Advanced Computer Science

3. SGT Inc.

Abstract

We investigate the application of temporal planners to the problem of compiling quantum circuits to emerging quantum hardware. While our approach is general, we focus our initial experiments on Quantum Approximate Optimization Algorithm (QAOA) circuits that have few ordering constraints and thus allow highly parallel plans. We report on experiments using several temporal planners to compile circuits of various sizes to a realistic hardware architecture. This early empirical evaluation suggests that temporal planning is a viable approach to quantum circuit compilation.

Publisher

International Joint Conferences on Artificial Intelligence Organization

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1. Qubit Mapping Based on Tabu Search;Journal of Computer Science and Technology;2024-03

2. Timing-Aware Qubit Mapping and Gate Scheduling Adapted to Neutral Atom Quantum Computing;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-11

3. Optimal Layout Synthesis for Quantum Circuits as Classical Planning;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

4. New coding scheme to compile circuits for Quantum Approximate Optimization Algorithm by genetic evolution;Applied Soft Computing;2023-09

5. Solving quantum circuit compilation problem variants through genetic algorithms;Natural Computing;2023-08-17

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