Quantum technology revolutionizes computing, communication, and sensing, yet researchers face system engineering challenges. In this Innosuisse-funded project we improve our versatile TWPA technology, at the foundation of our joint ETH/EPFL start-up project QanovaTech, to advance quantum technologies. More information.
The NCCR SPIN aims to make a major contribution to research into and the development of quantum computers and create the basis for a new information-processing technology. The NCCR’s objective is to develop small, fast, scalable silicon-based qubits. It will also generate important findings on software and algorithm development, error correction and the architecture of future quantum computers.
Superconducting circuits are a leading technology for the realisation of practical quantum computers. However, scaling-up towards full-scale, fault-tolerant quantum computers will involve addressing many challenges concerning, e.g., qubit coherence, reproducibility, stability, cross-talk, control, and readout. To achieve this, a new generation of metrological methods and tools is needed. The MetSuperQ project, funded by SERI and the European Union, will develop such a suite of tools for superconducting qubits and apply them to one- and two-qubit circuits.
Quantum computers promise to solve challenging computational problems more efficiently than conventional computers. Quantum algorithms demonstrating small instances of challenging computations, such as factorization, solving quantum chemistry problems, finding solutions to optimization problems, or quantum simulations, have been realized using noisy intermediate scale quantum (NISQ) hardware. However, it has become evident that fault-tolerant quantum computation will be required for addressing problems on relevant scales of complexity and for building universal quantum computers.
The Quantum Device Lab at ETH Zurich and the Superconducting Quantum Circuits Group at the ETHZ-PSI Quantum Computing Hub, in collaboration with Zurich Instruments, will develop an integrated software/hardware system, enabling scalable quantum computing experiments with real-time feedback for large-scale quantum error correction and new applications such as initial state preparation and verification of quantum algorithms.
The Quantum Device Lab aims at expanding the size and performance of its quantum information processing hardware in a modular approach. Starting with small modules, the team will demonstrate inter-module and intra-module operation. Instrumentation and software to characterize efficiently and operate a modular quantum computer will be developed. The lab will integrate such modules, containing up to several tens of qubits, in a 3D architecture using flip-chip technology with bump bonds.
Superconducting quantum circuits are one of the most promising platforms for realizing large-scale quantum computing devices, where in the near future a coherent integration of 100-1000 quantum bits (qubits) is feasible. However, the required temperatures of only a few mK currently restrict quantum operations to qubits that are located within a single, heavily shielded dilution refrigerator. This imposes a serious constraint on the realization of even larger quantum processors or the implementation of local- and wide-area quantum networks based on this technology.
In this project we will develop building blocks of a fully deterministic quantum photonics framework in the microwave frequency domain. By exploiting the unique properties of superconducting circuits, we focus on the realization of (i) deterministic photon-photon entangling gates , (ii) sources of cluster states, and (iii) quantum memories to absorb, store and relieve photons with a controllable time delay.
This project will build superconducting quantum neural networks as dedicated quantum machine learning hardware, which can outperform classical von Neumann architectures in its further development. This will combine the latest innovations, machine learning and quantum computing, into a radically new technology. The project starts in 2019.
OpenSuperQ aims at developing a full-stack quantum computing system of up to 100 qubits and to sustainably make it available at a central site for external users. This system will be applied to tasks of quantum simulation in quantum chemistry which serve as a high-level benchmark, and to problems related to optimization and machine learning.
