International Conference on Quantum Technologies for High-Energy Physics (QT4HEP22)

Keynote talk and discussion on current challenges and opportunities

The ATIQ project in Germany brings together multiple universities and industries to further develop technologies and methods needed for scalable trapped-ion quantum computers. The Leibniz Universität Hannover is one of three centers for trapped ions within the collaboration, alongside the Universität Siegen and the Johannes Gutenberg Universität Mainz. Each trapped-ion quantum computing center has a different focus in their project, and in the collaboration for Hannover's quantum computer, the focus is to develop integrated waveguides, which are needed in order to scale up the size of trap chips and consequently the number of qubits in a trapped-ion quantum computer. In parallel, the collaborations for Siegen and Mainz focus on the development of an integrated cryogenic digital-to-analog converter and the integration with a high performance computer respectively. This talk will focus on the collaboration between universities, the Physikalisch-Technische Bundesanstalt, and several companies working towards the Hannover-based quantum computer.

Quantum Computers rely on classical instrumentation to control the quantum processing unit. In 2018, Zurich Instruments introduced the first commercial Quantum Computing Control System (QCCS), designed to control more than 100 superconducting and spin qubits. In this talk, I will introduce the basic instrumentation required to operate a quantum computer and present our collaborative approach with leading research partners to pioneer quantum advantage from the control electronics side.

Trapped ions are one of the leading and furthest developed technologies in quantum computing. However, despite higher quality operations than on any other platform and the absence of variations in qubit quality, the road to fault-tolerant quantum computing remains long and steep. In this talk, I will briefly review the state of the art of the trapped-ion platform, illustrate the current attempts to scaling up to larger numbers of qubits and highlight the challenges faced in control electronics and reliable manufacturing.

The current status of trapped ions quantum computer development in Europe will be presented from the industry perspective, with focus on main challenges for the next few years. A brief overview of practical aspects related to scaling the number of qubits and improving the performance of quantum computers will be given. Special attention will be devoted to qubit control electronics and a related international initiative ARTIQ/Sinara, which was and continues to be inspired by CERN activities. Examples of industry-academia collaboration on quantum computing development as part of the Quantum Flagship and EuroHPC JU will be mentioned.

Qilimanjaro Quantum Tech is a start-up in quantum computing based in Barcelona and founded in 2019. Qilimanjaro counts with an integrated hardware and software team that focuses on coherent quantum analog and high-quality qubit superconducting-based architectures to deliver scalable app-specific quantum processors and services in a short timeframe. In this talk we will present an overview of the mission and vision of Qilimanjaro putting special focus on the applications and the potential of analog quantum devices.

Diamonds quantum computers offer a path to realize the potential of quantum computing,
but what does that look like in practice?

Quantum computing promises to deliver extraordinary advances in computational power, but the real question is: “what are the steps we need to take between now and achieving that goal?”. In my talk I will explain the journey that diamonds will enable, and why this is almost certainly the shortest path to get there.

PASQAL manufactures quantum processors based on neutral atom arrays offering attractive scaling, flexible topology and both analog and digital computational modes. To discuss their current and eventual capabilities, we will elaborate on the physics and technologies that powers these quantum devices. PASQAL works jointly with industrial and academic players to identify relevant challenges and enabling ideas; we will showcase how tailored applications and experiments are constructed with them, while building for the future.

In this presentation I share three Roche scientific use cases covering pharmaceutical relevant applications for Quantum Computing.
The use cases and the results of our experiments helps us to understand in what area Quantum Computing will disrupt the R&D productivity by when and how much.

We briefly present the activities of the Quantum Computing and Simulation Center of Padova University and of the Italian National Center for HPC, Big Data and Quantum Computing. In particular, we review tensor network methods, a class of algorithms that can guide and support the development of the NISQ era quantum computers, focusing on some of their potential industrial applications.

Variational algorithms are among the most promising near-term applications of quantum computers. Their execution is particularly challenging for current quantum computing systems since they require a tight interaction between the host CPU and the quantum accelerator. Here we present Intel Quantum SDK, an LLVM-based C++ compiler toolchain to efficiently compile and execute variational algorithms. Using our extension to the C++ language, the user can write programs describing both the quantum and classical parts of the algorithm. The classical and quantum parts of the C++ source are then compiled by the LLVM framework and by a novel quantum device compiler component, respectively. The runtime is augmented with the capability of executing quantum circuits dynamically, meaning that the values of the circuit's parameters can be changed without triggering the recompilation of the quantum part. We briefly describe how to gain access to the Intel Quantum SDK and get started with hybrid quantum-classical workloads.

In this talk, I will illustrate how one can quantify quantum advantage through two examples: the classical simulation of experimental platforms with finite fidelities using advanced numerical methods like Matrix Product States (arXiv:2207.05612), and the design of application-centric, hardware agnostic and scalable benchmarks for current quantum processors (arXiv:2102.12973).

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