TL;DR
This paper discusses the importance of quantum computing, its potential benefits, and the critical challenge posed by non-stationary noise in transmon processors that limits its practical application.
Contribution
It provides an analysis of noise non-stationarity in quantum processors and explores its impact on quantum computing stability and performance.
Findings
Non-stationary noise significantly affects quantum processor stability.
Understanding noise dynamics is crucial for improving quantum computation reliability.
Noise mitigation strategies are essential for advancing quantum technology.
Abstract
Quantum computing's potential is immense, promising super-polynomial reductions in execution time, energy use, and memory requirements compared to classical computers. This technology has the power to revolutionize scientific applications such as simulating many-body quantum systems for molecular structure understanding, factorization of large integers, enhance machine learning, and in the process, disrupt industries like telecommunications, material science, pharmaceuticals and artificial intelligence. However, quantum computing's potential is curtailed by noise, further complicated by non-stationary noise parameter distributions across time and qubits. This dissertation focuses on the persistent issue of noise in quantum computing, particularly non-stationarity of noise parameters in transmon processors.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications