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Taizhou Hong

Publications and source records attributed to Taizhou Hong.

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Femtotesla Atomic Magnetometer for Zero- and Ultralow-field Nuclear Magnetic Resonance

Zero- and ultralow-field nuclear magnetic resonance (ZULF NMR) has experienced rapid development and provides an excellent tool for diverse research fields ranging from materials science, quantum information processing to fundamental physics. The detection of ZULF NMR signals in samples with natural abundance remains a challenging endeavor, due to the limited sensitivity of NMR detectors and thermal polarization. In this work, we demonstrate a femtotesla potassium spin-exchange relaxation-free (SERF) magnetometer designed for ZULF NMR detection. A potassium vapor cell with high buffer gas pressure and high atomic number density is used in the magnetometer. With absorption spectroscopy and SERF effect, the key parameters of the vapor cell are characterized and applied to optimize the magnetometer sensitivity. To combine our SERF magnetometer and ZULF NMR detection, a custom-made vacuum chamber is employed to keep NMR sample close to the magnetometer cell and protect the sample from undesired heating effects. Gradiometric measurement is performed to greatly reduce the magnetic noise. With the phase calibration applied, the gradiometric measurement achieves 7-fold enhancement in magnetic-field sensitivity compared to the single channel and has a magnetic noise floor of 1.2 fT/Hz$^{1/2}$. Our SERF magnetometer exhibits high sensitivity and is promising to realize ZULF NMR detection of samples with natural abundance.

quant-ph

Long-baseline quantum sensor network as dark matter haloscope

Ultralight dark photons constitute a well-motivated candidate for dark matter. A coherent electromagnetic wave is expected to be induced by dark photons when coupled with Standard-Model photons through kinetic mixing mechanism, and should be spatially correlated within the de Broglie wavelength of dark photons. Here we report the first search for correlated dark-photon signals using a long-baseline network of 15 atomic magnetometers, which are situated in two separated meter-scale shield rooms with a distance of about 1700 km. Both the network's multiple sensors and the shields large size significantly enhance the expected dark-photon electromagnetic signals, and long-baseline measurements confidently reduce many local noise sources. Using this network, we constrain the kinetic mixing coefficient of dark photon dark matter over the mass range 4.1 feV-2.1 peV, which represents the most stringent constraints derived from any terrestrial experiments operating over the aforementioned mass range. Our prospect indicates that future data releases may go beyond the astrophysical constraints from the cosmic microwave background and the plasma heating.

quant-ph