Marcin Jastrzębski

University of Warsaw | UW

Rydberg atoms exhibit both remarkable sensitivity to electromagnetic fields making them promising candidates for revolutionizing field sensors and, unlike conventional antennas, they neither disturb the measured field nor necessitate extensive calibration procedures. In this study, we propose a receiver design for data-modulated signal reception ne...

Spectrotemporal processing is essential in reaching ultimate per-photon information capacity in optical communication and metrology. In contrast to the spatial domain, multimode processing in the time-frequency domain is, however, challenging. Here, we propose a protocol for spectrum-to-position conversion using the spatial spin wave modulation tec...

Operations in the time-frequency domain of light are widely used in communication. Transformations such as fractional Fourier transform are indispensable tool for noise reduction. We present a protocol for quantum memories to perform this operation.

We present a detection scheme for Wi-Fi signals using room-temperature Rydberg atoms. We compare the Rydberg-atoms sensor with its classical counterpart. Finally, we discuss the microwave-to-optical conversion of Wi-Fi signals using the wave mixing process.

Operations in the time-frequency domain of light are widely used in communication. Transformations such as fractional Fourier transform are indispensable tool for noise reduction. We present a protocol for quantum memories to perform this operation.

We present a protocol for spectrum-to-position conversion using spatial spin wave modulation technique in gradient echo quantum memory. We present the characterization of our interface as well as the uncertainty discussion.

Spectro-temporal processing is essential in reaching ultimate per-photon information capacity in optical communication and metrology. In contrast to the spatial domain, complex multimode processing in the time-frequency domain is however challenging. Here we propose a protocol for spectrum-to-position conversion using spatial spin wave modulation t...

The fractional Fourier transform (FrFT), a fundamental operation in physics that corresponds to a rotation of phase space by any angle, is also an indispensable tool employed in digital signal processing for noise reduction. Processing of optical signals in their time-frequency degree of freedom bypasses the digitization step and presents an opport...

The fractional Fourier transform (FrFT), a fundamental operation in physics that corresponds to a rotation of phase space by any angle, is also an indispensable tool employed in digital signal processing for noise reduction. Processing of optical signals in their time-frequency degree of freedom bypasses the digitization step and presents an opport...

We present the Fractional Fourier Transform (FrFT) realised in quantum memory. We achieve this transformation by applying two temporal and one spectral lenses and measure the Hermite-Gaussian modes which are the eigenfunctions of FrFT.

We present the Fractional Fourier Transform realized in quantum memory. We achieve this by applying two temporal and one spectral lens. We measure the Wigner function of a ”cat-state” and Hermite-Gaussian modes.

Despite the multitude of available methods, the characterization of ultrafast pulses remains a challenging endeavor, especially at the single-photon level. We introduce a pulse characterization scheme that maps the magnitude of its short-time Fourier transform. Contrary to many well-known solutions it does not require nonlinear effects and is there...

Despite the multitude of available methods, the characterisation of ultrafast pulses remains a challenging endeavour, especially at the single-photon level. We introduce a pulse characterisation scheme that maps the magnitude of its short-time Fourier transform. Contrary to many well-known solutions it does not require nonlinear effects and is ther...