Optimizing Quantum Programs against Decoherence: Delaying Qubits into Quantum Superposition
April 18, 2019 Β· Declared Dead Β· π Theoretical Aspects of Software Engineering
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Authors
Yu Zhang, Haowei Deng, Quanxi Li, Haoze Song, Leihai Nie
arXiv ID
1904.09041
Category
quant-ph: Quantum Computing
Cross-listed
cs.PL
Citations
21
Venue
Theoretical Aspects of Software Engineering
Last Checked
5 months ago
Abstract
Quantum computing technology has reached a second renaissance in the last decade. However, in the NISQ era pointed out by John Preskill in 2018, quantum noise and decoherence, which affect the accuracy and execution effect of quantum programs, cannot be ignored and corrected by the near future NISQ computers. In order to let users more easily write quantum programs, the compiler and runtime system should consider underlying quantum hardware features such as decoherence. To address the challenges posed by decoherence, in this paper, we propose and prototype QLifeReducer to minimize the qubit lifetime in the input OpenQASM program by delaying qubits into quantum superposition. QLifeReducer includes three core modules, i.e.,the parser, parallelism analyzer and transformer. It introduces the layered bundle format to express the quantum program, where a set of parallelizable quantum operations is packaged into a bundle. We evaluate quantum programs before and after transformed by QLifeReducer on both real IBM Q 5 Tenerife and the self-developed simulator. The experimental results show that QLifeReducer reduces the error rate of a quantum program when executed on IBMQ 5 Tenerife by 11%; and can reduce the longest qubit lifetime as well as average qubit lifetime by more than 20% on most quantum workloads.
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