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97 papers · 1 filter
Tackling Sampling Noise in Physical Systems for Machine Learning Applications: Fundamental Limits and Eigentasks
Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan +6
The expressive capacity of physical systems employed for learning is limited by the unavoidable presence of noise in their extracted outputs. Though present in physical systems acr…
Quantum limits of parameter estimation in long-baseline imaging
Aqil Sajjad, Michael R Grace, Saikat Guha
Distributed aperture telescopes are a well-established approach for boosting resolution in astronomical imaging. However, theoretical limits on quantitative imaging precision, and…
Quantifying the Expressive Capacity of Quantum Systems: Fundamental Limits and Eigentasks
Fangjun Hu, Gerasimos Angelatos, Saeed A. Khan +6
The expressive capacity of quantum systems for machine learning is limited by quantum sampling noise incurred during measurement. Although it is generally believed that noise limit…
Modular tunable coupler for superconducting qubits
Daniel L. Campbell, Archana Kamal, Leonardo Ranzani +2
The development of modular and versatile quantum interconnect hardware is a key next step in the scaling of quantum information platforms to larger size and greater functionality.…
Stabilizing two-qubit entanglement by mimicking a squeezed environment
L. C. G. Govia, A. Lingenfelter, A. A. Clerk
It is well known that qubits immersed in a squeezed vacuum environment exhibit many exotic phenomena, including dissipative entanglement stabilization. Here, we show that these eff…
Miniaturizing transmon qubits using van der Waals materials
Abhinandan Antony, Martin V. Gustafsson, Guilhem J. Ribeill +8
Quantum computers can potentially achieve an exponential speedup versus classical computers on certain computational tasks, as recently demonstrated in systems of superconducting q…