27 citations · 28 across the 6 of their papers we have counts for
7 papers
Experimental quantum-computing-enhanced sensing using Grover's algorithm
Mathieu Ouellet, Purnendu Sen, Xiangqin Wang +6
The combination of quantum sensing with quantum computing to provide an enhancement over conventional quantum sensing has recently emerged as a promising potential application of q…
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…
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…
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…
Quantum Computational Sensing
Saeed A. Khan, Sridhar Prabhu, Logan G. Wright +1
Quantum computing has the potential to deliver large advantages on computational tasks, but advantages for practical tasks are not yet achievable with current hardware. Quantum sen…
Exponential advantage in quantum sensing of correlated parameters
Sridhar Prabhu, Vladimir Kremenetski, Saeed A. Khan +2
Conventionally in quantum sensing, the goal is to estimate one or more unknown parameters that are assumed to be deterministic - that is, they do not change between shots of the qu…
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…