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20182026
most citedReconstructing quantum states with quantum reservoir networks

64 citations · 181 across the 9 of their papers we have counts for

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quant-ph2026

Robust Quantum Learning through Hamiltonian Reservoir Computing

Youya Xu, Chengyong Yu, Sanjib Ghosh

Quantum learning provides a versatile paradigm for information processing by exploiting the intrinsic representational capacity of high-dimensional Hilbert spaces. Here, we investi…

quant-ph2021

Superpolynomial Quantum Enhancement in Polaritonic Neuromorphic Computing

Huawen Xu, Tanjung Krisnanda, Wouter Verstraelen +2

Recent proof-of-principle experiments have demonstrated the implementation of neuromorphic computing using exciton-polaritons, making use of coherent classical states [D. Ballarini…

quant-ph202130 cited

Creating and concentrating quantum resource states in noisy environments using a quantum neural network

Tanjung Krisnanda, Sanjib Ghosh, Tomasz Paterek +1

Quantum information processing tasks require exotic quantum states as a prerequisite. They are usually prepared with many different methods tailored to the specific resource state.…

quant-ph202064 cited

Reconstructing quantum states with quantum reservoir networks

Sanjib Ghosh, Andrzej Opala, Michał Matuszewski +2

Reconstructing quantum states is an important task for various emerging quantum technologies. The process of reconstructing the density matrix of a quantum state is known as quantu…

quant-ph202062 cited

Dynamical blockade in a single mode bosonic system

Sanjib Ghosh, Timothy C. H. Liew

We introduce a dynamical blockade phenomenon occurring in a nonlinear bosonic mode induced by a combination of continuous and pulsed excitations. We find that the underlying mechan…