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Factoring 2048-bit RSA Integers in 177 Days with 13 436 Qubits and a Multimode Memory

Élie Gouzien and Nicolas Sangouard
Phys. Rev. Lett. 127, 140503 – Published 28 September 2021
Physics logo See synopsis: Far Fewer Qubits Required for “Quantum Memory” Quantum Computers
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Abstract

We analyze the performance of a quantum computer architecture combining a small processor and a storage unit. By focusing on integer factorization, we show a reduction by several orders of magnitude of the number of processing qubits compared with a standard architecture using a planar grid of qubits with nearest-neighbor connectivity. This is achieved by taking advantage of a temporally and spatially multiplexed memory to store the qubit states between processing steps. Concretely, for a characteristic physical gate error rate of 103, a processor cycle time of 1 microsecond, factoring a 2 048-bit RSA integer is shown to be possible in 177 days with 3D gauge color codes assuming a threshold of 0.75% with a processor made with 13 436 physical qubits and a memory that can store 28 million spatial modes and 45 temporal modes with 2 hours’ storage time. By inserting additional error-correction steps, storage times of 1 second are shown to be sufficient at the cost of increasing the run-time by about 23%. Shorter run-times (and storage times) are achievable by increasing the number of qubits in the processing unit. We suggest realizing such an architecture using a microwave interface between a processor made with superconducting qubits and a multiplexed memory using the principle of photon echo in solids doped with rare-earth ions.

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  • Received 11 March 2021
  • Revised 20 July 2021
  • Accepted 3 August 2021

DOI:https://doi.org/10.1103/PhysRevLett.127.140503

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

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Far Fewer Qubits Required for “Quantum Memory” Quantum Computers

Published 28 September 2021

Incorporating storage units for quantum information into quantum computers may allow researchers to build such devices with several orders of magnitude fewer qubits in their processors.

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Authors & Affiliations

Élie Gouzien* and Nicolas Sangouard

  • Université Paris–Saclay, CEA, CNRS, Institut de Physique Théorique, 91191 Gif-sur-Yvette, France

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Issue

Vol. 127, Iss. 14 — 1 October 2021

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