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Zurich Instruments Launches its First Qubit Controller Offering a Full Qubit Control System in a Single Instrument

Highlights

Zurich Instruments launches the SHFQC, its first qubit controller that can control, readout and perform fast feedback on up to 6 qubits. The SHFQC supports control and readout frequencies up to 8.5 GHz without the need for mixer calibration, and provides a wide and clean instantaneous bandwidth of 1 GHz.

Description

The SHFQC comes with 6 signal generator control channels and a single quantum analyzer readout channel, each of which can be controlled and triggered individually. Internal data and trigger distribution allow for fast feedback and a flexible and software-controlled reconfiguration of the qubit control system. The control channels can be programmed to generate complex gate sequences using efficient pulse-level sequencing in their arbitrary waveform generators (AWGs). The readout channel analyzes up to 16 qubits, 8 qutrits, or 5 ququads in real-time – time-staggered or in parallel. Thanks to the matched complex filters and tight integration with the control channels, both signal-to-noise ratio and readout latency can be optimized. Turnkey features such as fast acquisition of a resonator spectrum, and a high level of integration through LabOne, the LabOne QCCS Software, or the APIs and drivers for Python simplify and accelerate system characterization and tune-up as well as algorithm execution.

Application

The SHFQC integrates seamlessly into any new or existing Zurich Instruments Quantum Computing Control System and adds fast local feedback to existing error correction capabilities. Thus, a single SHFQC helps reduce the complexity of small qubit setups while also scaling up to systems of 100 qubits and beyond.

To read more about the new Zurich Instruments SHFQC Qubit Controller, including the complete list of its specifications, visit www.zhinst.com and the SHFQC instrument page.To arrange a live demo, write to [email protected].

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

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Jake Vikoren

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Deep Prasad

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James Dargan

James Dargan is a writer and researcher at The Quantum Insider. His focus is on the QC startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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