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20182026
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quant-ph2026

Quantum sensors that compute: quantum computational magnetic-field sensing using a superconducting qubit

Purnendu Sen, Mathieu Ouellet, Saeed A. Khan +6

A measurement of a single-qubit quantum sensor reveals at most 1 bit of information about the signal that was sensed. To perform a classification task on the signal, the convention…

quant-ph2026

Exponential quantum advantage for learning signals with a single qubit

Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan +7

Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of experimental platforms…

quant-ph2026

A digitally controlled silicon quantum processing unit

Members of the HRL Quantum Team, Collaborators, : +255

Commercially-relevant quantum computers will require large numbers of high-performing qubits that can be manufactured, integrated, and controlled at scale. Silicon exchange-only (E…

quant-ph2026

Quantum computational displacement sensing

Sridhar Prabhu, Saeed A. Khan, Xingrui Song +7

Quantum computational sensing (QCS) combines quantum sensing with quantum computing to extract task-relevant information from the physical world. QCS can in principle achieve an ac…

quant-ph2024

Synthetic high angular momentum spin dynamics in a microwave oscillator

Saswata Roy, Alen Senanian, Christopher S. Wang +10

Spins and oscillators are foundational to much of physics and applied sciences. For quantum information, a spin 1/2 exemplifies the most basic unit, a qubit. High angular momentum…

quant-ph2023

Microwave signal processing using an analog quantum reservoir computer

Alen Senanian, Sridhar Prabhu, Vladimir Kremenetski +8

Quantum reservoir computing (QRC) has been proposed as a paradigm for performing machine learning with quantum processors where the training is efficient in the number of required…