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

Moritz Kirste

Published Jan 1, 2022• 0 citations
OpenAlex

Abstract

<!--HTML-->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.

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<!--HTML-->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.
Quantum computers have gained widespread interest as they can potentially solve problems that are intractable even for today’s supercomputers, such as the simulation of quantum systems as initially proposed by Feynman. To achieve such tremendous progress, a quantum computer relies on processing the information stored in quantum bits (qubits), the fundamental units of quantum computation, similar to the bits in a classical (i.e., non-quantum) processor. In general, a quantum processor comprising several qubits is connected through a quantum-to-classical interface consisting of classical electrical circuits for manipulating and reading out their quantum state. The accuracy of an operation on a qubit is characterized using the fidelity, which is 100 % in case of a perfect operation. In practice, a fidelity between 99 % and 99.9 % is typically achieved in today’s experiments with less than 100 qubits, limited by non-idealities in the control signals and by the implementation of the physical qubit itself. Since such qubit fidelities are too low to execute relevant quantum algorithms, quantum error correction schemes have been developed which rely on a much larger number of qubits to correct for possible errors, resulting in the need for quantum processors with thousands or millions of qubits. Solid-state qubits promise the largescale integration required to scale to millions of qubits, as they exploit the lithographic fabrication techniques borrowed from the semiconductor industry. However, state-of-theart solid-state qubits, such as transmons and single-electron spin qubits, must be typically cooled to cryogenic temperatures in a dilution refrigerator to exhibit quantum behavior. Because of the limited number of qubits (< 100) in state-of-theart solid-state quantum processors, the classical controller is currently implemented by general-purpose instruments or by tailor-made controllers operating at room temperature connected via several wires to the qubits in the cryogenic chamber. However, these systems must scale to support millions of qubits. While scaling up the underlying quantum processor is already exceptionally challenging, building the electronics required to interface such a large-scale processor is just as relevant and arduous.
<!--HTML-->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.
<!--HTML-->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.
This brief overview of quantum computing gives an intuitive, albeit incomplete view of why it shows promise over any known classical approach to computing. The difficulty of making a qubit which allows us to protect and control quantum information will be illustrated in an overview of existing quantum technologies, including ions, superconducting qubits, spins and defects in solids. Finally, I will review a few of the problems which may benefit most from quantum computing and why many in industry are excited by the prospects.