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One of the primary challenges of superconducting quantum computing is the extremely low temperatures at which superconductors like Bose-Einstein Condensates exist. Other basic challenges in superconducting qubit design are shaping the potential well and choosing particle mass such that energy separation between two specific energy levels is unique, differing from all other interlevel energy separation in the system, since these two levels are used as logical states of the qubit.
Superconducting quantum computing must also mitigate [[quantum noise]] (disruptions of the system caused by its interaction with an environment) as well as [[Leakage (machine learning)|leakage]] (information being lost to the surrounding environment). One way to reduce leakage is with [[parity measurement]]s.<ref name="Kjaergaard-2020" /> Another strategy is to use qubits with large anharmonicity.<ref name="Nguyen-2020" /><ref name="Nguyen-2022" /> Many current challenges faced by superconducting quantum computing lie in the field of microwave engineering.<ref name="NatRev2017" /> As superconducting quantum computing approaches larger scale devices, researchers face difficulties in [[Quantum coherence|qubit coherence]], scalable [[calibration]] software, efficient determination of [[Fidelity of quantum states|fidelity]] of quantum states across an entire chip, and qubit and gate fidelity.<ref name="Kjaergaard-2020" /> Moreover, superconducting quantum computing devices must be reliably reproducible at increasingly large scales such that they are compatible with these improvements.<ref name="Kjaergaard-2020" />
'''The Journey of Superconducting Quantum Computing:'''
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