Quantum Matter 2022: Quantum Machines Scientific Line-up
Quantum Matter is quickly approaching, and we can’t wait to see you there! Barcelona is a beautiful city, but we’re more excited to explore the conference’s scientific lineup.
While you’re planning which talks to check out, be sure to add ours to your calendar! Our physicists have been preparing sessions and posters on accelerating the expedition to our quantum future, integrating quantum control into ultra-fast camera readout for neutral atom arrays, and the gap between NISQ variational algorithms and SW/HW constraints. You can find the abstracts and more details below.
Accelerating the Expedition to our Quantum Future with Quantum-Classical Control
Abstract: The journey towards practical large-scale quantum computers will traverse many challenging obstacles. Integrating quantum and classical computation at the very core of the control architecture is a necessary capability. Quantum Machines’ Quantum Orchestration Platform equips researchers and developers with the most advanced quantum-classical integration available today and provides the development productivity and flexibility required to continuously advance the state-of-the-art. In this talk, we will explore how this integration is impacting the expedition towards quantum advantage and fault-tolerant quantum computers.
Join in on Wednesday, June 22, at 11:15-11:45 am [More details]
Integrated Quantum Control Architecture for Ultra-Fast Camera Readout of Neutral Atom Arrays
Abstract: Neutral atom arrays are a promising platform for quantum computation and simulation. Although their qubit quality can be high even in large numbers, the path to neutral atom quantum computers satisfying the DiVincenzo criteria is brimmed with challenges. One of the major roadblocks is the necessity to precisely assemble 2D arrays of natural atoms and perform a readout well within the boundaries of coherence time. Here we demonstrate camera readout times in the order of a few milliseconds, two orders of magnitude lower than typical T2* times. This readout includes everything from frame capturing, processing, and feedback pulses. We show that such a fast camera readout can be achieved by combining a dedicated FPGA processor architecture with real-time control capabilities and an integrated camera readout module optimized to handle such fast operations. The possibility for a unified control platform to perform a universal set of quantum gates and such a fast readout well within coherence time directly enables the implementation of quantum error correction schemes on atom arrays.
Tune in on Wednesday, June 22, at 6:25 – 6:35 pm [More details]
Bridging the Gap Between NISQ Variational Algorithms and SW/HW Architectures Constraints
Abstract: Variational algorithms are key candidates for achieving a quantum advantage in the NISQ era. Implementing such schemes requires close communication between classical computations running on a classical processor and quantum circuits running on a quantum processor. Efficient communication between the two and fast reconfiguration of the quantum circuit is key to achieving maximum utilization of quantum resources.
Here we discuss hardware and software aspects of quantum control architectures and the possible bottlenecks for variational algorithm execution. In particular, we demonstrate an implementation of the QAOA algorithm that is run on Quantum Machines’ Quantum Orchestration Platform. We show it is imperative to consider both the algorithms and the SW/HW architectures together to enable optimized performance and utilization, thus accelerating quantum computation.
