115 citations · 185 across the 17 of their papers we have counts for
17 papers
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…
Measurement-Adapted Eigentask Representations for Photon-Limited Optical Readout
Tianyang Chen, Mandar M. Sohoni, Saeed A. Khan +5
Optical readout in low-light imaging is fundamentally limited by measurement noise, including photon shot noise, detector noise, and quantization error. In this regime, downstream…
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…
Single-shot Quantum State Classification via Nonlinear Quantum Amplification
Elif Cüce, Saeed A. Khan, Boris Mesits +2
Quantum amplifiers are intrinsically nonlinear systems whose performance limits are set by quantum mechanics. In quantum measurement, amplifier operation is conventionally optimize…
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…
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…
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…
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…
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…
Efficient computation of coherent multimode instabilities in lasers using a spectral approach
Sara Kacmoli, Saeed A. Khan, Claire F. Gmachl +1
Coherent multimode instabilities are responsible for several phenomena of recent interest in semiconductor lasers, such as the generation of frequency combs and ultrashort pulses.…
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…
Phenomenological Model of Superconducting Optoelectronic Loop Neurons
Jeffrey M. Shainline, Bryce A. Primavera, Saeed Khan
Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting co…
High-Purity Entanglement of Hot Propagating Modes Using Nonreciprocity
Lindsay Orr, Saeed A. Khan, Nils Buchholz +2
Distributed quantum information processing and communication protocols demand the ability to generate entanglement among propagating modes. However, thermal fluctuations can severe…
Radiative Properties of an Artificial Atom coupled to a Josephson Junction Array
Kanu Sinha, Saeed A. Khan, Elif Cüce +1
We study the radiative properties -- the Lamb shift, Purcell decay rate and the spontaneous emission dynamics -- of an artificial atom coupled to a long, multimode cavity formed by…
Physical reservoir computing using finitely-sampled quantum systems
Saeed Ahmed Khan, Fangjun Hu, Gerasimos Angelatos +1
The paradigm of reservoir computing exploits the nonlinear dynamics of a physical reservoir to perform complex time-series processing tasks such as speech recognition and forecasti…
Studying Light-Harvesting Models with Superconducting Circuits
Anton Potočnik, Arno Bargerbos, Florian A. Y. N. Schröder +9
The process of photosynthesis, the main source of energy in the animate world, converts sunlight into chemical energy. The surprisingly high efficiency of this process is believed…