Neural networks can learn to utilize correlated auxiliary noise

Ahmadzadegan, Aida; Simidzija, Petar; Li, Ming; Kempf, Achim

doi:10.1038/s41598-021-00502-4

Cited by 13 publications

(1 citation statement)

References 33 publications

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“…The phenomenon that correlated auxiliary noise can be used to improve the signal to noise ratio has been further explored in a study with neural networks [6]. These results, the so-called of "Utilizing Correlated Auxiliary Noise" (UCAN) method, indicates opportunities for machine-learned quantum error correction.…”

Section: Introductionmentioning

confidence: 99%

Entanglement is better teleported than transmitted

Yamaguchi¹,

Kempf²

2023

Preprint

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We show that, for the purpose of quantum communication via a quantum field, it is essential to view the field not only as a medium for transmission but also as a source of entanglement that can aid in the communication task. To this end, we consider the quantum communication scenario where Alice is initially entangled with an ancilla and intends to communicate with Bob through a quantum field, so as to make Bob entangled with the ancilla. We find that if Alice and Bob communicate by directly coupling to the quantum field, then they can generate negativity between Bob and the ancilla only at orders that are higher than second perturbative order. We then present a protocol based on quantum teleportation in which Alice and Bob consume entanglement that they obtained from the field via interaction or harvesting. We show that this protocol can transfer negativity already to second perturbative order.

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Section: Introductionmentioning

confidence: 99%

Entanglement is better teleported than transmitted

Yamaguchi¹,

Kempf²

2023

Preprint

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Decoherence dynamics estimation for superconducting gate-model quantum computers

Gyöngyösi

2020

Quantum Inf Process

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Superconducting gate-model quantum computer architectures provide an implementable model for practical quantum computations in the NISQ (noisy intermediate scale quantum) technology era. Due to hardware restrictions and decoherence, generating the physical layout of the quantum circuits of a gate-model quantum computer is a challenge. Here, we define a method for layout generation with a decoherence dynamics estimation in superconducting gate-model quantum computers. We propose an algorithm for the optimal placement of the quantum computational blocks of gate-model quantum circuits. We study the effects of capacitance interference on the distribution of the Gaussian noise in the Josephson energy.

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