Academic Journal
An end-to-end workflow for executing a classically bootstrapped variational quantum algorithm on an academic quantum computer.
| Τίτλος: | An end-to-end workflow for executing a classically bootstrapped variational quantum algorithm on an academic quantum computer. |
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| Συγγραφείς: | Wang, Qingfeng, Zhukas, Liudmila A., Miao, Qiang, Dalvi, Aniket S., Love, Peter J., Monroe, Christopher, Chong, Frederic T., Ravi, Gokul Subramanian |
| Πηγή: | npj Unconventional Computing; 6/19/2026, Vol. 3 Issue 1, p1-11, 11p |
| Θεματικοί όροι: | Workflow, Quantum computing, Scheduling, Quantum computers, Application program interfaces, Integrated software, Python programming language |
| Περίληψη: | Academic quantum computing platforms often face unique challenges in executing quantum workloads due to fragmented software environments and limited engineering support. Unlike commercial ecosystems, academic devices typically evolve without full-stack integration in mind, making it difficult to run complex applications—such as variational quantum algorithms (VQA)—reliably and efficiently. Issues such as incompatible software layers and lack of automated job management significantly increase the overhead of theory-experiment collaboration. To address these challenges, we develop a modular, end-to-end workflow that decouples application-layer code from low-level hardware control, automates circuit submission and result collection, and supports fine-grained circuit-level job scheduling and recovery. The architecture employs a dual-end application programming interface (API) design, enabling robust operation across unstable or resource-constrained hardware backends. For practical use, the framework is lightweight and user-friendly, allowing rapid prototyping of full-stack workflows using basic Python tools. We validate this workflow on a high-fidelity trapped-ion quantum computer by demonstrating a variational quantum eigensolver (VQE) experiment with a classically bootstrapped ansatz initialization technique. The system successfully executed over 60,000 circuits across multiple molecular test cases with minimal human intervention, highlighting the framework's effectiveness in enabling reproducible, resilient quantum experimentation in academic settings. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: | Complementary Index |
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