Programmable and sequential Gaussian gates in a loop-based single-mode photonic quantum processor

Enomoto, Y.; Yonezu, Kazuma; Mitsuhashi, Yosuke; Takase, Kan; Takeda, Shuntaro

doi:10.1126/sciadv.abj6624

Cited by 19 publications

(18 citation statements)

References 32 publications

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“…Using time-domain multiplexing, large one- and two-dimensional cluster states have been deterministically generated 21 – 23 with programmable linear operations implemented by projective measurements 24 , 25 , whereas similar operations have been implemented in ref. 26 using a single loop with reconfigurable phase. These demonstrations leverage low-loss optical fibre for delay lines, which allows photonic quantum information to be effectively buffered.…”

Section: Mainmentioning

confidence: 99%

Quantum computational advantage with a programmable photonic processor

Madsen

Laudenbach

Askarani

et al. 2022

Nature

481

253

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A quantum computer attains computational advantage when outperforming the best classical computers running the best-known algorithms on well-defined tasks. No photonic machine offering programmability over all its quantum gates has demonstrated quantum computational advantage: previous machines1,2 were largely restricted to static gate sequences. Earlier photonic demonstrations were also vulnerable to spoofing3, in which classical heuristics produce samples, without direct simulation, lying closer to the ideal distribution than do samples from the quantum hardware. Here we report quantum computational advantage using Borealis, a photonic processor offering dynamic programmability on all gates implemented. We carry out Gaussian boson sampling4 (GBS) on 216 squeezed modes entangled with three-dimensional connectivity5, using a time-multiplexed and photon-number-resolving architecture. On average, it would take more than 9,000 years for the best available algorithms and supercomputers to produce, using exact methods, a single sample from the programmed distribution, whereas Borealis requires only 36 μs. This runtime advantage is over 50 million times as extreme as that reported from earlier photonic machines. Ours constitutes a very large GBS experiment, registering events with up to 219 photons and a mean photon number of 125. This work is a critical milestone on the path to a practical quantum computer, validating key technological features of photonics as a platform for this goal.

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Section: Mainmentioning

confidence: 99%

Quantum computational advantage with a programmable photonic processor

Madsen

Laudenbach

Askarani

et al. 2022

Nature

481

253

View full text Add to dashboard Cite

show abstract

“…These functions have non-zero values only at finite time domain, and the balanced time-bin waveform has no career component because f BTB (t) dt = 0. Balanced time-bin waveform is suitable for timedomain multiplexing of quantum states and thus intensively adopted as a computational basis in scalable optical quantum computers [19][20][21][22][23][24][25]. Thus far, those waveforms have not been demonstrated in non-Gaussian state generation.…”

Section: Resultsmentioning

confidence: 99%

“…We construct two filters with impulse response g TB (t) ∝ f TB (−t) and g BTB (t) ∝ f BTB (−t) before the photon detector. Based on the optical quantum information processors reported so far [21,[23][24][25],…”

Section: Resultsmentioning

confidence: 99%

“…Our achievement is twofold: first, we have proposed the concept of the Q-AWG and its architecture based on heralding scheme using CW; second, we have demonstrated the core technology of the Q-AWG, arbitrary control of the temporal waveform of non-Gaussian states, via realizing waveforms essential for practical optical quantum computing [19][20][21][22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

“…1(b) is scalable measurement-based quantum computing that multiplexes quantum states of light in time domain. In this scheme, it is effective to use a * akiraf@ap.t.u-tokyo.ac.jp balanced time-bin waveform [19][20][21][22][23][24][25]. By outputting various quantum states with this temporal waveform from Q-AWGs, large-scale, universal, and fault-tolerant optical quantum computing can be performed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Quantum arbitrary waveform generator

Takase¹,

Kawasaki²,

Jeong³

et al. 2022

Preprint

Self Cite

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Controlling the waveform of light is the key for a versatile light source in classical and quantum electronics. Although pulse shaping of classical light is a mature technique and has been used in various fields, more advanced applications would be realized by a light source that generates arbitrary quantum light with arbitrary temporal waveform. We call such a device a quantum arbitrary waveform generator (Q-AWG). The Q-AWG must be able to handle versatile quantum states of light, which are fragile. Thus, the Q-AWG requires a radically different methodology from classical pulse shaping. In this paper, we invent an architecture of Q-AWGs that can operate semideterministically at a repetition rate over GHz in principal. We demonstrate its core technology via generating highly non-classical states with waveforms that have never been realized before. This result would lead to powerful quantum technologies based on Q-AWGs such as practical optical quantum computing.

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Integrated photonic quantum computing

Zhang

2024

On-Chip Photonics

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Programmable and sequential Gaussian gates in a loop-based single-mode photonic quantum processor

Abstract: A loop-based photonic quantum processor for general-purpose applications is demonstrated to be scalable and programmable.

Cited by 19 publications

References 32 publications

Quantum computational advantage with a programmable photonic processor

Quantum computational advantage with a programmable photonic processor

Quantum arbitrary waveform generator

Integrated photonic quantum computing

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