aiqbench analysis
This research presents a novel online protocol for quantum reservoir computing that leverages mid-circuit measurement and reset operations to achieve amplitude encoding without interrupting temporal processing. By avoiding input buffering and maintaining linear runtime, the method offers a practical pathway toward scalable hardware implementations for complex quantum reservoir tasks. The work demonstrates proof-of-principle functionality on actual quantum hardware, validating the feasibility of monitoring reservoir dynamics through both direct and indirect measurement schemes.
Measurement-enabled online quantum processing with amplitude encoding
arXiv:2606.18991v2 Announce Type: replace Abstract: We introduce a quantum reservoir computing online protocol that realizes amplitude encoding on quantum hardware. Our scheme combines mid-circuit measurement and reset operations to implement the partial-trace dynamics underlying amplitude encoding, while an indirect measurement scheme provides access to reservoir observables without interrupting temporal processing. In contrast to other approaches, our method preserves online operation, avoids input buffering, and keeps the runtime linear in the number of time steps. We present the theoretical formulation of the protocol and a proof-of-principle implementation on quantum hardware, and we evaluate its performance on two standard benchmark tasks. Our results show that the reservoir dynamics can be monitored through both direct measurements of the input qubits and indirect measurements of the memory qubits, enabling observation of the full system while isolating the internal evolution of the reservoir. This work provides a practical route toward scalable hardware implementations of amplitude-encoded quantum reservoir computing and opens the door to systematic experimental studies of complex quantum reservoirs.
Abstract:We introduce a quantum reservoir computing online protocol that realizes amplitude encoding on quantum hardware. Our scheme combines mid-circuit measurement and reset operations to implement the partial-trace dynamics underlying amplitude encoding, while an indirect measurement scheme provides access to reservoir observables without interrupting temporal processing. In contrast to other approaches, our method preserves online operation, avoids input buffering, and keeps the runtime linear in the number of time steps. We present the theoretical formulation of the protocol and a proof-of-principle implementation on quantum hardware, and we evaluate its performance on two standard benchmark tasks. Our results show that the reservoir dynamics can be monitored through both direct measurements of the input qubits and indirect measurements of the memory qubits, enabling observation of the full system while isolating the internal evolution of the reservoir. This work provides a practical route toward scalable hardware implementations of amplitude-encoded quantum reservoir computing and opens the door to systematic experimental studies of complex quantum reservoirs.
10 pages, 7 figures, comments welcome!
arXiv:2606.18991 [quant-ph]
(or arXiv:2606.18991v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2606.18991 Focus to learn more arXiv-issued DOI via DataCite
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