27 citations · 27 across the 5 of their papers we have counts for
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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…
Overcoming the Coherence Time Barrier in Quantum Machine Learning on Temporal Data
Fangjun Hu, Saeed A. Khan, Nicholas T. Bronn +4
Practical implementation of many quantum algorithms known today is limited by the coherence time of the executing quantum hardware and quantum sampling noise. Here we present a mac…
Single-shot Quantum State Classification via Nonlinear Quantum Amplification
Elif Cüce, Elif Cüce, Saeed A. Khan +4
Quantum amplifiers are intrinsically nonlinear systems whose performance limits are set by quantum mechanics. In quantum measurement, amplifier operation is conventionally optimize…
A neural processing approach to quantum state discrimination
Saeed A. Khan, Fangjun Hu, Gerasimos Angelatos +2
Although linear quantum amplification has proven essential to the processing of weak quantum signals, extracting higher-order quantum features such as correlations in principle dem…
Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement
Saeed A. Khan, Ryan Kaufman, Boris Mesits +2
We develop and demonstrate a trainable temporal post-processor (TPP) harnessing a simple but versatile machine learning algorithm to provide optimal processing of quantum measureme…