Biasing the quantum vacuum to control macroscopic probability distributions

Roques-Carmes C, Salamin Y, Sloan J, Choi S, Velez G, Koskas E, Rivera N, Kooi SE, Joannopoulos JD, Soljačić M. 2023. Biasing the quantum vacuum to control macroscopic probability distributions. Science. 381(6654), 205–209.

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Author
Roques-Carmes, CharlesISTA; Salamin, Yannick; Sloan, Jamison; Choi, Seou; Velez, Gustavo; Koskas, Ethan; Rivera, Nicholas; Kooi, Steven E.; Joannopoulos, John D.; Soljačić, Marin
Abstract
Quantum field theory suggests that electromagnetic fields naturally fluctuate, and these fluctuations can be harnessed as a source of perfect randomness. Many potential applications of randomness rely on controllable probability distributions. We show that vacuum-level bias fields injected into multistable optical systems enable a controllable source of quantum randomness, and we demonstrated this concept in an optical parametric oscillator (OPO). By injecting bias pulses with less than one photon on average, we controlled the probabilities of the two possible OPO output states. The potential of our approach for sensing sub–photon-level fields was demonstrated by reconstructing the temporal shape of fields below the single-photon level. Our results provide a platform to study quantum dynamics in nonlinear driven-dissipative systems and point toward applications in probabilistic computing and weak field sensing.
Publishing Year
Date Published
2023-07-14
Journal Title
Science
Publisher
American Association for the Advancement of Science
Volume
381
Issue
6654
Page
205-209
ISSN
eISSN
IST-REx-ID

Cite this

Roques-Carmes C, Salamin Y, Sloan J, et al. Biasing the quantum vacuum to control macroscopic probability distributions. Science. 2023;381(6654):205-209. doi:10.1126/science.adh4920
Roques-Carmes, C., Salamin, Y., Sloan, J., Choi, S., Velez, G., Koskas, E., … Soljačić, M. (2023). Biasing the quantum vacuum to control macroscopic probability distributions. Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.adh4920
Roques-Carmes, Charles, Yannick Salamin, Jamison Sloan, Seou Choi, Gustavo Velez, Ethan Koskas, Nicholas Rivera, Steven E. Kooi, John D. Joannopoulos, and Marin Soljačić. “Biasing the Quantum Vacuum to Control Macroscopic Probability Distributions.” Science. American Association for the Advancement of Science, 2023. https://doi.org/10.1126/science.adh4920.
C. Roques-Carmes et al., “Biasing the quantum vacuum to control macroscopic probability distributions,” Science, vol. 381, no. 6654. American Association for the Advancement of Science, pp. 205–209, 2023.
Roques-Carmes C, Salamin Y, Sloan J, Choi S, Velez G, Koskas E, Rivera N, Kooi SE, Joannopoulos JD, Soljačić M. 2023. Biasing the quantum vacuum to control macroscopic probability distributions. Science. 381(6654), 205–209.
Roques-Carmes, Charles, et al. “Biasing the Quantum Vacuum to Control Macroscopic Probability Distributions.” Science, vol. 381, no. 6654, American Association for the Advancement of Science, 2023, pp. 205–09, doi:10.1126/science.adh4920.
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