160 citations · 650 across the 42 of their papers we have counts for
7 papers · 2 filters
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, Filippo Caruso, Leonardo Banchi
Quantum Machine Learning is where nowadays machine learning meets quantum information science. In order to implement this new paradigm for novel quantum technologies, we still need…
Ultimate Limits of Thermal Pattern Recognition
Cillian Harney, Leonardo Banchi, Stefano Pirandola
Quantum Channel Discrimination (QCD) presents a fundamental task in quantum information theory, with critical applications in quantum reading, illumination, data-readout and more.…
Idler-free channel position finding
Jason L. Pereira, Leonardo Banchi, Quntao Zhuang +1
Entanglement is a powerful tool for quantum sensing, and entangled states can greatly boost the discriminative power of protocols for quantum illumination, quantum metrology, or qu…
Optimal quantum spatial search with one-dimensional long-range interactions
Dylan Lewis, Asmae Benhemou, Natasha Feinstein +2
Continuous-time quantum walks can be used to solve the spatial search problem, which is an essential component for many quantum algorithms that run quadratically faster than their…
Quantum-enhanced barcode decoding and pattern recognition
Leonardo Banchi, Quntao Zhuang, Stefano Pirandola
Quantum hypothesis testing is one of the most fundamental problems in quantum information theory, with crucial implications in areas like quantum sensing, where it has been used to…
Measuring Analytic Gradients of General Quantum Evolution with the Stochastic Parameter Shift Rule
Leonardo Banchi, Gavin E. Crooks
Hybrid quantum-classical optimization algorithms represent one of the most promising application for near-term quantum computers. In these algorithms the goal is to optimize an obs…