Who else is ready for sunny Orlando? Not sure we'll have time to hit up Disney World on this trip, but there will be even more exciting things happening at this year's DAMOP. The quantum computing world is basically its own amusement park!
Our physicists have been busy preparing some exciting talks for this conference, covering topics like atom arrangement, reducing the sensitivity of quantum gates, and our new lab manager software. Keep reading to get all of the details and add these to your schedule!
P.S. You'll want to stop by QM tables (2-3) for a chat about advanced quantum control and to snag some legendary swag!
Reducing the Sensitivity of Quantum Gates to Laser Intensity Noise via Real-Time Feedback on Gate Parameters
Abstract: Quantum processors using laser fields to drive qubits suffer from laser intensity fluctuations which limit gate fidelities [1-4]. Mitigation of such noise processes via feedback was up until now only available via low bandwidth sequencers running on CPUs (allowing at best for shot to shot corrections) or on FPGA processors and analog circuits that take orders of magnitude longer to develop and iterate on.
In this talk, we demonstrate novel hardware and software architecture allowing the generation of high bandwidth (>250kHz) feedback programs written in a Turing-complete, high-level programming language called QUA. The approach is based on the real-time synthesis of signals using QM’s pulse processor, a novel chip architecture and instruction set designed to generate quantum circuits.
The pulse processor allows adapting gate waveforms in real-time based on acquired error signals such as laser intensity fluctuations measured on fast photodiodes. The user can write arbitrary control programs in QUA, which are then compiled and run in real-time on the pulse processor establishing feedback bandwidths exceeding 250kHz, often limited by latencies introduced by propagation delays in the lab.
Atom Arrangement with the Quantum Orchestration Platform
Abstract: Neutral atom arrays are a promising platform for quantum computation and simulation. While this platform has the potential to support a large number of high-quality qubits, there exist several roadblocks toward neutral atoms quantum devices that can lead to quantum advantage. One of the biggest challenges to realizing a scalable physical system with well-characterized qubits is the precise rearrangement of atoms on a 2D array, which requires unique control capabilities.
In this talk, we will demonstrate our integrated hardware and software platform (Quantum Orchestration Platform), which combines a unique Pulse Processor architecture allowing cutting-edge real-time control capabilities with an intuitive, pulse-level control programming language, QUA. We will then show how straightforward it is to code atom rearrangement protocols using the platform and will discuss future directions in atom arrangement strategies.
Entropy: A Lab Manager Software That Lowers the Lab Entropy and Boosts Your Productivity
Abstract: Running computations on quantum processors requires calibration of a growing number of qubits while allowing execution of complex control sequences. This joins a host of additional challenges such as collecting, sorting, and gaining insight into the experimental data records. However, human real-time cognitive processing capacity in the lab remains limited. To scale up, we need to provide a good contextual interface between experimental protocol, results, and narrative.
We present Entropy, a software solution that manages complex experimental workflows, provides drilled-down views on the system in both real-time and off-line, and ensures a consistent and future-proof record of lab operations. Entropy enables automatic calibration, easy debugging, and universally hyperlinked and searchable experiment runs, results, and lab notebooks.
Entropy is a free and open-source solution with a modern web interface and modular architecture. It is built with the best open-source industry-standard stack, giving a performant out-of-box experience and innumerable options for customization and extensions. In this, we will show a live demonstration of how a researcher can use Entropy to improve their workflow.
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