Alireza Shabani

Product reservoir computing: Time-series computation with multiplicative neurons

2015

Echo state networks (ESN), a type of reservoir computing (RC) architecture, are efficient and accurate artificial neural systems for time series processing and learning. An ESN consists of a core of recurrent neural networks, called …

Tunable inductive coupling of superconducting qubits in the strongly nonlinear regime

2017 · Physical Review A

For a variety of superconducting qubits, tunable interactions are achieved through mutual inductive coupling to a coupler circuit containing a nonlinear Josephson element. In this paper, we derive the general interaction mediated by such a …

Optimally stopped variational quantum algorithms

2018 · Physical Review A

Quantum processors promise a paradigm shift in high-performance computing which needs to be assessed by accurate benchmarking measures. In this article, we introduce a benchmark for the variational quantum algorithm (VQA), recently proposed as a …

All-photonic one-way quantum repeaters

2023 · Research Square

Abstract Quantum repeater is the key technology enabler for long-distance quantum communication. To date, most of the existing quantum repeater protocols are designed based on specific quantum codes or graph states. In this paper, we …

MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets

2023 · arXiv (Cornell University)

Chiplet architecture is an emerging architecture for quantum computing that could significantly increase qubit resources with its great scalability and modularity. However, as the computing scale increases, communication between qubits would become a more severe …