Publications by authors named "Daniel J Egger"
Quantum computers process information with the laws of quantum mechanics. Current quantum hardware is noisy, can only store information for a short time and is limited to a few quantum bits, that is, qubits, typically arranged in a planar connectivity. However, many applications of quantum computing require more connectivity than the planar lattice offered by the hardware on more qubits than is available on a single quantum processing unit (QPU).
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- Quantum computing offers capabilities that surpass classical computers, but current quantum machines produce noisy outputs, complicating result accuracy.
- This study assesses how noise affects bit string sampling and its consequences for optimization and machine learning tasks.
- By quantifying the sampling overhead and relating it to layer fidelity, the research establishes provable bounds on noise-free expectation values, validated through experiments on quantum computers with up to 127 qubits, showing good alignment with theoretical outcomes.*