20–24 Sept 2021
In-Person & Virtual
US/Eastern timezone
In-Person Attendees Please See Updated COVID Information

LLLama and the Lake Monster: SDR in Neutral Atom Quantum Computing

23 Sept 2021, 09:45
30m
Coliseum Ballroom (In-Person & Virtual)

Coliseum Ballroom

In-Person & Virtual

Paper (with talk) SDR Instrumentation and Control Main Track

Speaker

Dr Robin Coxe (Atom Computing Inc.)

Description

In this talk, we will provide an overview of unique, wired SDR applications for Atom Computing Inc.’s quantum computer. Our apparatus employs a suite of lasers, magnets, and cameras to cool, trap, manipulate, and read out an array of qubits constructed from optically trapped neutral atoms. The physical processes that underpin neutral atom quantum computing would not be possible without precise, closed-loop control of the amplitudes, frequencies, and phases of electromagnetic (optical) fields. This control is mediated through the acousto-optical and electro-optical effects, whereby RF signals couple to optical fields in a highly controllable manner. These RF signals are generated by Hapyxelor, our subsystem named after a mythical Canadian lake monster, that outputs an array of arbitrary RF waveforms from ~50 MHz to 16 GHz by means of a custom RFSoC-based SDR in a MicroTCA chassis. We also monitor and provide long-term (slow) feedback to our laser sources by downmixing the optical frequency noise down to the RF regime using an optical frequency comb. Our LLLama Long-term Laser Lock subsystem uses an Ettus Research USRP N210 with UBX-40 RF daughtercard and GNU Radio to monitor and analyze these downmixed signals, and provides feedback to the laser controller modules to keep the lasers in a locked state over the course of days and weeks.

Secondary Topic High Performance SDR Applications

Primary authors

Dr Robin Coxe (Atom Computing Inc.) Dr Remy Notermans (Atom Computing Inc.) Mr Joseph Lauigan (Atom Computing Inc.) Mr Ciro Nishiguchi (Atom Computing Inc.) Dr Nicole Crisosto (Atom Computing Inc.)

Presentation materials