2022 IEEE International Conference on Quantum Computing and Engineering (QCE) 2022
DOI: 10.1109/qce53715.2022.00051
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Time-Efficient Qudit Gates through Incremental Pulse Re-seeding

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Cited by 5 publications
(3 citation statements)
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“…As real quantum systems are limited by noise effects such as decoherence, this allows us to investigate the expected cost of using these gates in quantum circuits. Juqbox only allows pulse optimization for a fixed time interval [0,𝑇 ], therefore we minimize pulse durations 𝑇 by applying the technique from [39], which involves iterative re-optimization with previous pulse results. This method aims to find the shortest-duration pulse that can execute the desired gate above a minimum fidelity target.…”
Section: Optimizing Pulsesmentioning
confidence: 99%
“…As real quantum systems are limited by noise effects such as decoherence, this allows us to investigate the expected cost of using these gates in quantum circuits. Juqbox only allows pulse optimization for a fixed time interval [0,𝑇 ], therefore we minimize pulse durations 𝑇 by applying the technique from [39], which involves iterative re-optimization with previous pulse results. This method aims to find the shortest-duration pulse that can execute the desired gate above a minimum fidelity target.…”
Section: Optimizing Pulsesmentioning
confidence: 99%
“…The PET framework also includes a quantum complementarity dyad that describes the relationships between the elemental modules as entangled. Thus, the PET framework may be alternatively described as an 8-state qudit or a triple-qubit system (Seifert et al, 2022). Both the classical PET framework that describes cognition based on psychological science within the context of the Metric tensor and its quantum dyad version are complementary in the tradition of Niel's Bohr.…”
Section: Figure 27mentioning
confidence: 99%
“…These guard states are not logical states, therefore populating them is penalized with a leakage term 𝐿[𝑓 𝑘 ]. Currently, Juqbox only allows pulse optimization for a fixed gate time 𝑇 , therefore we minimize pulse durations by applying an iterative re-optimization technique [51].…”
Section: Quantum Optimal Controlmentioning
confidence: 99%