Quantum Communication

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Delivering a Quantum Future

Supporting quantum ambitions means finding a balanced workforce that can handle quantum physics and technology pipelines, expanding quantum computer capacity, and taming error rates. Learn more.

Quantum Control System

This document provides a brief technical overview of the features and specifications of the Quantum Control System.

QuantumPro Electromagnetic (EM) and Quantum Analysis Environment for Quantum Circuit Designers

QuantumPro offers an all-inclusive electromagnetic design environment for faster development of superconducting qubits. Precision is paramount with QuantumPro simulators, spanning FEM and Momentum. Revolutionize your workflow with automated quantum parameter extraction. Elevate your EM flow with kinetic inductance modeling. Experience quantum innovation simplified with PathWave QuantumPro.

Quantum Key Distribution Test Bed

The purpose of this application note is to present how Keysight can help enable research for discrete variable quantum key distribution (DV-QKD). Keysight offers a wide range of optical instrumentation for researching quantum key distribution and other applications in quantum communications. Paired with Labber Software, Keysight engineers have developed an easy-to-use solution for instrument control and lab automation. This software helps quantum scientists to maximize their experimental potential for the fastest results with a simple experimental set-up, intuitive visualization of results, and the efficient organization of collected data.

Navigating the Quantum Revolution in a Year of Transformation

This white paper aims to provide senior executives with practical insights into the quantum landscape of 2025 and how to position their organizations to benefit from this technological revolution in the International Year of Quantum and beyond.

Quantum Computing Brings New Error Correction Challenges

Attaining future breakthroughs in quantum computing will require a worldwide collaborative effort in addressing challenges related to error correction. Learn more about quantum error correction challenges in this white paper.

The Bluefors Dilution Refrigerator as an Integrated Quantum Measurement System

Measurements of quantum devices at millikelvin temperatures take on new importance today because of immediate applications in quantum simulations (Georgescu, Ashhab, & Nori, 2014), quantum sensing (Degen, Reinhard, & Cappellaro, 2017), and the world-wide race to build a fault tolerant quantum computer (Kjaergaard, et al., 2020). Scientists and engineers require integrated measurement systems to perform fast, and accurate characterization of quantum devices. The main measurement challenges are that devices require detection of very weak microwave signals and are exquisitely sensitive to environmental factors. Bluefors systems are often used as a platform for quantum devices as evidenced by more than 200 references (as of March 2021) to the Bluefors system in technical literature that focuses on quantum measurements or qubits. This application note reports a decisive step towards demonstrating a "turn-key" integrated quantum measurement system that requires a vastly reduced number of steps required by the end-user to begin a quantum measurement. This advance is enabled by the integration of a PXI-based quantum measurement system from Keysight Quantum Engineering Solutions (QES) and the Labber instrument control software.

Quantum Parameter Extraction in QuantumPro

QuantumPro allows for modeling superconducting qubit circuits analyzing their EM performance and their nonlinear properties in the quantum regime with ultra-low power signal excitation. The Full EM Analysis supports frequency sweep of the circuits using the MoM and FEM solvers. From the scattering parameters, QuantumPro calculates the resonant frequencies and the quantum parameters. The Energy Participation Analysis supports the FEM Eigenmode Solver, which calculates the eigenfrequencies of the qubits and the resonators. From the energy participation ratios, QuantumPro calculates the quantum parameters. In this application note, we describe the methods that QuantumPro utilizes to extract quantum parameters. We show two QuantumPro models, the one-qubit-one-resonator and the four-qubit-four-resonator examples. Employing Momentum RF, Momentum Microwave, and FEM Eigenmode solvers, we derive and compare the quantum parameters. The MoM solvers require less computational resources compared to the FEM solvers due to the fewer number of unknowns. On the other hand, the FEM Eigenmode solver allows for finding a full χ matrix while the frequency domain solvers yield the entries in the χ matrix that only represent the interactions between neighboring elements.

Keysight Installs Largest Quantum Control System at AIST

Keysight has recently delivered the world’s largest quantum control system that pushes the limits of quantum computing in terms of both scale and performance.

Coherent Charge Oscillations in Graphene Quantum Dots

Coherent charge oscillations in graphene quantum dots using an AWG and microwave generator setup controlled by Labber.

Quantum EDA Solutions

In this video, we explore how to navigate the design challenges of superconducting quantum chips using Keysight Quantum EDA solutions. We cover the integrated workflow for quantum chips and highlight our three unique solutions: Quantum Layout, QuantumPro, and Quantum Circuit Simulation.

Time Saved in the Race for Controlling Quantum Dot Qubits

Quantum technology provides the means to achieve breakthroughs in computing. The team at RIKEN’s Quantum Functional System Research Group are focused on technologies to control the quantum state to process information faster with low energy consumption. To make this happen, they focus on establishing one stable qubit then scaling it up to many. In the work of stabilizing a single qubit, noise is a common challenge.

DC Bias Source for Multiple Quantum Qubit Control (Course)

Qubits are highly susceptible to noise, and minor fluctuations in DC bias voltage can induce unintended changes in the quantum state. This course video covers everything about using an SMU as a bias source for multiple qubit control in quantum computing development.

DC Bias Source for Multiple Quantum Qubit Control (Demo)

Qubits are highly susceptible to noise, and minor fluctuations in DC bias voltage can induce unintended changes in the quantum state. This demonstration video teaches us how to use an SMU as a bias source for multiple qubit control in quantum computing development.

Introduction to Quantum Computing

Learn what makes a quantum computation successful and the challenges to achieving high-impact outcomes.

Design Challenges of Superconducting Quantum Chips

This video explores how Quantum EDA techniques, tailored to the unique requirements of quantum circuits, can facilitate the design process by providing tools for simulation, verification, and optimization. By navigating these challenges effectively, Quantum EDA offers a pathway towards realizing robust and scalable superconducting quantum systems, accelerating progress in quantum computing and quantum information processing.

Quantum Sensing

Flyer for Quantum Sensing solutions including product offerings and solution applications.

Quantum Circuit Simulation

Quantum circuit simulation offers a comprehensive circuit design environment that accelerates the development of complex quantum circuits. Transform your quantum workflow with flux quantization in the frequency domain. You can feel confident with the industry's most capable and accurate analysis for large, highly nonlinear quantum circuits.

Quantum Computing