Deltaflow.Control is a customisable solution for generating high accuracy, high speed pulse sequences to control qubits using affordable off-the-shelf hardware.
Its decentralised architecture provides the scalability and performance required to enable practical quantum error correction.
Deltaflow.Control is currently available for trapped ion and cold atom qubits. Support for superconducting qubits is in development.
Why choose
Deltaflow.Control?
Resources
Download our Deltaflow.Control datasheet
Full product specifications and usability requirements.
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Fully programmable with pulse definition and configuration using pure-Python, so no need to spend time learning platform-specific languages, plus a library of powerful and easy to use pulse definition functions -
Easy integration and setup with support for the commonly used Xilinx RFSoC and Sinara hardware ecosystems and a comprehensive set of tutorials and examples -
Professional-level debugging and clock cycle accurate simulation, providing deep insight into system behaviour and meaning fewer iterations to perfect experiments -
Low-latency decentralised architecture supports scaling to the measurement-heavy workflows required for error-corrected quantum computing -
World class support delivered by experts in trapped ion and atomic qubit control with 30 years' combined experience in trapped ion and atomic qubit control
"Our experience with Deltaflow.Control and the Riverlane product team has been very positive. They’re always responsive and helpful, and are clearly focused on understanding and addressing the needs of researchers in the lab."
- Tracy Northup, Ingeborg Hochmair Professor of Experimental Physics, University of Innsbruck
Deltaflow.Control + Xilinx RFSoC
Deltaflow.Control integrates seamlessly with the Xilinx RFSoC ZCU111 Board to create a scalable high performance qubit control system providing:
- 8 RF outputs - frequency range 20-400 MHz / sampling rate up to 4Gsps / 14-bit amplitude resolution / 16-bit phase resolution / timing resolution up to 1ns
- 16 digital IOs - 4 inputs configurable as any combination of PMT inputs or external trigger inputs (on request) / 12 outputs
- External triggering to enable operation of Deltaflow.Control systems in satellite mode alongside 3rd party control systems
Hardware Kit for Xilinx RFSoC Boards
To fast track building a complete rack-mounted qubit control system based on Deltaflow.Control and the Xilinx RFSoC board, a kit of parts comprising casing, power supply, cabling and IO connectors is available from Riverlane on request.
Deltaflow.Control + Sinara
Deltaflow.Control brings scalability and a powerful and easy to use programming model to the Sinara open-source hardware ecosystem. Support is provided for setups comprising the Kasli controller, Urukul signal generation and TTL digital I/O modules.
The Journey To Scalable Qubit Control
To run the large scale error-corrected circuits that will be be needed to perform useful calculations, the next generation of qubit control systems must meet three key requirements.
How can physicists scale their Sinara qubit control systems at low risk?
Deltaflow.Control offers a hybrid solution that provides a stepping stone to scalability, so physicists can do more complex work without replacing their existing setup.
The hidden costs of homegrown qubit control systems
Quantum control engineer Mitch Peaks explains why physicists building qubits need a control system to progress their research.
Riverlane leads UK consortium to build auto-calibrated quantum control system ‘Deltaflow.Control’
Riverlane, which is building the operating system for error corrected quantum computers, is leading a UK-based consortium to build a system capable of controlling hundreds of qubits simultaneously across different types of quantum hardware.
Featured experts
Our world-leading team of physicists and engineers have a combined 20+ years experience is the design and implementation of qubit control systems
Dr Mitch Peaks
Quantum Control Engineer
Mitch is a physicist with extensive experience in experimental atomic physics, ion trapping and quantum computing. He achieved his PhD in the Ion Quantum Technology group at the University of Sussex where he developed an experiment towards demonstrating high-fidelity, trapped ion quantum logic with scalable technologies for a large-scale quantum computing architecture.
Dr Gianmarco Girau
Senior Embedded Systems Manager
Gianmarco holds a PhD in Electronic and Communication Engineering from the Polytechnic of Turin. He has extensive experience in FPGA and Embedded Systems design, having spent five years designing embedded logic for industrial manufacturing systems before joining Riverlane. Prior to that, he was a lead engineer developing prototypes for deep-space modems at the European Space Agency's ground stations.
Dr Robin Sterling
Senior Product Manager
Robin is a physicist and engineer with over 15 years' experience in quantum computing and embedded systems. He achieved his PhD in ion trap quantum computing at the University of Sussex where he designed and operated the first 2D microfabricated ion trap lattice, then later patented a new resonant circuit for wearable RFID sensors.
Rojalin Mishra
Senior Hardware Verification Engineer
Rojalin has a BSc in electronics and communication engineering. She is a seasoned verification engineer with eight years' experience in verifying complex Systems-on-a-Chip and Integrated Circuits. Her expertise includes developing and implementing verification strategies.
