Video will appear here.
 

Date: 05/09/2025

About this Forum:

Quantum computers require tight integration of quantum and classical compute resources and a rethinking of control system architecture. This seminar will present Quantum Machines’ approach to real-time control, discuss recent applications, and outline anticipated challenges for control systems as major quantum computing efforts continue to scale.

 

What is the Forum?

The Rodgers RLE Forum is a time to appreciate and learn from examples of impactful engineering. The laboratory hosts these opportunities for engagement in support of its mission to serve as a cutting-edge hub for advancing and sharing knowledge and best practices in high-performance prototyping.

 

About the presenters:

Elisha Svetitsky is a Scientific Business Development Manager with Quantum Machines. After a PhD with superconducting qubits in the Hebrew University of Jerusalem, he joined Quantum Machines in 2021 as a solutions engineer, and transitioned to his present role in 2024.

Quantum Machines develops advanced control and orchestration systems for quantum computing. The company provides hardware and software solutions designed to optimize quantum processor performance, accelerate algorithm execution, and enable seamless integration with quantum research and industrial applications. Quantum Machines’ solutions are used by research institutions, startups, and large-scale quantum computing initiatives worldwide.

Key Areas of Focus:

Quantum Orchestration Platform (QOP):
Quantum Machines’ flagship product, the QOP, is a full-stack quantum control platform designed to efficiently run quantum algorithms and experiments. It enables real-time decision-making, adaptive control, and precise pulse shaping for qubit manipulation.

Pulse Processing Unit (PPU):
The company developed a specialized processor, the Pulse Processing Unit (PPU), which enables real-time classical computation for quantum experiments. The PPU enhances performance by optimizing quantum error correction, measurement-based feedback, and complex control sequences.

Quantum Hardware Control:
Quantum Machines provides high-performance control electronics, including waveform generators, signal processors, and data acquisition systems. These tools are designed to interface with superconducting qubits, trapped ions, neutral atoms, and other quantum hardware platforms.

Scalable Quantum Computing Infrastructure:
The company’s solutions support the scaling of quantum computers by offering flexible, modular architectures that adapt to different qubit technologies and experimental needs.

Software and Cloud Integration:
Quantum Machines’ software integrates with common quantum programming languages and cloud-based quantum computing services, facilitating easy deployment of quantum algorithms across different quantum processors.

By providing robust control solutions, Quantum Machines plays a critical role in advancing the development and commercialization of quantum computing technologies.