Realization of a Quantum Streaming Algorithm on Long-lived Trapped-ion Qubits

Fuente: arXiv
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Main Authors: Niroula, Pradeep, Chakrabarti, Shouvanik, Kordonowy, Steven, Kumar, Niraj, Omanakuttan, Sivaprasad, Perlin, Michael A., Allman, M. S., Campora III, J. P., Chernoguzov, Alex, Cooper, Samuel F., Delaney, Robert D., Dreiling, Joan M., Estey, Brian, Figgatt, Caroline, Foltz, Cameron, Gaebler, John P., Hall, Alex, Husain, Ali A., Isanaka, Akhil, Kennedy, Colin J., Kotibhaskar, Nikhil, Madjarov, Ivaylo S., Mills, Michael, Milne, Alistair R., Narmour, Louis, Park, Annie J., Reed, Adam P., Singhal, Kartik, Ransford, Anthony, Bohnet, Justin G., Neyenhuis, Brian, Otter, Rob, Shaydulin, Ruslan
Format: Preprint
Published: 2025
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author Niroula, Pradeep
Chakrabarti, Shouvanik
Kordonowy, Steven
Kumar, Niraj
Omanakuttan, Sivaprasad
Perlin, Michael A.
Allman, M. S.
Campora III, J. P.
Chernoguzov, Alex
Cooper, Samuel F.
Delaney, Robert D.
Dreiling, Joan M.
Estey, Brian
Figgatt, Caroline
Foltz, Cameron
Gaebler, John P.
Hall, Alex
Husain, Ali A.
Isanaka, Akhil
Kennedy, Colin J.
Kotibhaskar, Nikhil
Madjarov, Ivaylo S.
Mills, Michael
Milne, Alistair R.
Narmour, Louis
Park, Annie J.
Reed, Adam P.
Singhal, Kartik
Ransford, Anthony
Bohnet, Justin G.
Neyenhuis, Brian
Otter, Rob
Shaydulin, Ruslan
author_facet Niroula, Pradeep
Chakrabarti, Shouvanik
Kordonowy, Steven
Kumar, Niraj
Omanakuttan, Sivaprasad
Perlin, Michael A.
Allman, M. S.
Campora III, J. P.
Chernoguzov, Alex
Cooper, Samuel F.
Delaney, Robert D.
Dreiling, Joan M.
Estey, Brian
Figgatt, Caroline
Foltz, Cameron
Gaebler, John P.
Hall, Alex
Husain, Ali A.
Isanaka, Akhil
Kennedy, Colin J.
Kotibhaskar, Nikhil
Madjarov, Ivaylo S.
Mills, Michael
Milne, Alistair R.
Narmour, Louis
Park, Annie J.
Reed, Adam P.
Singhal, Kartik
Ransford, Anthony
Bohnet, Justin G.
Neyenhuis, Brian
Otter, Rob
Shaydulin, Ruslan
contents Large classical datasets are often processed in the streaming model, with data arriving one item at a time. In this model, quantum algorithms have been shown to offer an unconditional exponential advantage in space. However, experimentally implementing such streaming algorithms requires qubits that remain coherent while interacting with an external data stream. In this work, we realize such a data-streaming model using Quantinuum Helios trapped-ion quantum computer with long-lived qubits that communicate with an external server. We implement a quantum pair sketch, which is the primitive underlying many quantum streaming algorithms, and use it to solve Hidden Matching, a problem known to exhibit a theoretical exponential quantum advantage in space. Furthermore, we compile the quantum streaming algorithm to fault-tolerant quantum architectures based on surface and bivariate bicycle codes and show that the quantum space advantage persists even with the overheads of fault-tolerance.
format Preprint
id arxiv_https___arxiv_org_abs_2511_03689
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Realization of a Quantum Streaming Algorithm on Long-lived Trapped-ion Qubits
Niroula, Pradeep
Chakrabarti, Shouvanik
Kordonowy, Steven
Kumar, Niraj
Omanakuttan, Sivaprasad
Perlin, Michael A.
Allman, M. S.
Campora III, J. P.
Chernoguzov, Alex
Cooper, Samuel F.
Delaney, Robert D.
Dreiling, Joan M.
Estey, Brian
Figgatt, Caroline
Foltz, Cameron
Gaebler, John P.
Hall, Alex
Husain, Ali A.
Isanaka, Akhil
Kennedy, Colin J.
Kotibhaskar, Nikhil
Madjarov, Ivaylo S.
Mills, Michael
Milne, Alistair R.
Narmour, Louis
Park, Annie J.
Reed, Adam P.
Singhal, Kartik
Ransford, Anthony
Bohnet, Justin G.
Neyenhuis, Brian
Otter, Rob
Shaydulin, Ruslan
Quantum Physics
Large classical datasets are often processed in the streaming model, with data arriving one item at a time. In this model, quantum algorithms have been shown to offer an unconditional exponential advantage in space. However, experimentally implementing such streaming algorithms requires qubits that remain coherent while interacting with an external data stream. In this work, we realize such a data-streaming model using Quantinuum Helios trapped-ion quantum computer with long-lived qubits that communicate with an external server. We implement a quantum pair sketch, which is the primitive underlying many quantum streaming algorithms, and use it to solve Hidden Matching, a problem known to exhibit a theoretical exponential quantum advantage in space. Furthermore, we compile the quantum streaming algorithm to fault-tolerant quantum architectures based on surface and bivariate bicycle codes and show that the quantum space advantage persists even with the overheads of fault-tolerance.
title Realization of a Quantum Streaming Algorithm on Long-lived Trapped-ion Qubits
topic Quantum Physics
url https://arxiv.org/abs/2511.03689