In the world of superconducting quantum circuits where accurately modelling flux quantisation is crucial, Keysight and Google Quantum AI have joined forces to introduce Quantum Circuit Simulation (Quantum Ckt Sim), a circuit design environment that accelerates the development of intricate quantum circuits through the integration of frequency-domain flux quantisation into circuit solvers.
By precisely modelling flux quantisation, the solution enables researchers to design more reliable and efficient superconducting circuits.
“Using Quantum Ckt Sim, it is now possible to enforce flux quantisation conditions in ADS frequency-domain simulations of superconducting devices,” said Ofer Naaman, research scientist at Google Quantum AI. “This is a critical capability whose absence thus far limited the usability of modern EDA tools in microwave superconducting circuit design.”
The solution streamlines quantum workflow with advanced flux quantisation in the frequency domain, providing unparalleled accuracy and capability in analysing large, highly nonlinear quantum circuits, enabling researchers to model complex quantum circuits with better accuracy, thereby reducing computational errors and enhancing the overall reliability of simulations.
Google Quantum AI has established itself as a key player in the quantum computing arena, driving significant advancements in the field.
With its state-of-the-art quantum processors and pioneering research, Google has achieved notable milestones, including the demonstration of beyond-classical computation and has been actively involved in the development of advanced quantum amplifiers, which are essential for enhancing the performance of quantum systems.
“It’s thrilling to witness the accurate modelling of frequency domain flux quantisation of superconducting circuits using an EDA tool for the first time. This significant milestone leverages EDA capabilities to streamline the design of superconducting microwave circuits for quantum applications and beyond,” said Mohamed Hassan, quantum solutions planning lead at Keysight EDA. “We anticipate this advancement will empower quantum engineers to enhance the performance of parametric quantum circuits, particularly in terms of power handling and bandwidth, which are crucial for the readout of qubits in quantum computers.”
