The present paper proposes a methodology to implement a Long Short-Term Memory cell in the quantum framework, where inference is computed by replicating the internal structure of the cell using quantum circuits. A suitable encoding is proposed and the design of each quantum operation is detailed. A complexity analysis of the circuit is hence conducted and finally, the quantum architecture is experimentally validated both in an IBM Q simulator and with a numerical simulation on a classical device. The proposed approach leads the way for a completely quantum implementation of a Long Short-Term Memory network.

Design of an LSTM cell on a quantum hardware / Ceschini, Andrea; Rosato, Antonello; Panella, Massimo. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS. - ISSN 1549-7747. - 69:3(2022), pp. 1822-1826. [10.1109/TCSII.2021.3126204]

Design of an LSTM cell on a quantum hardware

Ceschini, Andrea;Rosato, Antonello;Panella, Massimo
2022

Abstract

The present paper proposes a methodology to implement a Long Short-Term Memory cell in the quantum framework, where inference is computed by replicating the internal structure of the cell using quantum circuits. A suitable encoding is proposed and the design of each quantum operation is detailed. A complexity analysis of the circuit is hence conducted and finally, the quantum architecture is experimentally validated both in an IBM Q simulator and with a numerical simulation on a classical device. The proposed approach leads the way for a completely quantum implementation of a Long Short-Term Memory network.
2022
quantum gate array; Long Short-Term Memory cell; recurrent neural circuit; quantum deep learning; quantum neural networks
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Design of an LSTM cell on a quantum hardware / Ceschini, Andrea; Rosato, Antonello; Panella, Massimo. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS. - ISSN 1549-7747. - 69:3(2022), pp. 1822-1826. [10.1109/TCSII.2021.3126204]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1584748
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