Control Electronics For Semiconductor Spin Qubits

Abstract

Future universal quantum computers solving problems of practical relevance are expected to require at least $10^6$ qubits, which is a massive scale-up from the present numbers of less than 50 qubits operated together. Out of the different types of qubits, solid state qubits are considered to be viable candidates for this scale-up, but interfacing to and controlling such a large number of qubits is a complex challenge that has not been solved yet. One possibility to address this challenge is to use qubit control circuits located close to the qubits at cryogenic temperatures. In this work we evaluate the feasibility of this idea, taking as a reference the physical requirements of a two-electron spin qubit and the specifications of a standard 65 nm complementary metal-oxide-semiconductor (CMOS) process. Using principles and flows from electrical systems engineering we provide realistic estimates of the footprint and of the power consumption of a complete control-circuit architecture. Our results show that with further research it is possible to provide scalable electrical control in the vicinity of the qubit, with our concept.

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Cited by in corpus (11)

• The Future of Quantum Computing with Superconducting Qubits
• CMOS-based cryogenic control of silicon quantum circuits
• Blueprint of a scalable spin qubit shuttle device for coherent mid-range qubit transfer in disordered Si/SiGe/SiO${}_2$
• The SpinBus Architecture: Scaling Spin Qubits with Electron Shuttling
• Colloquium: Advances in automation of quantum dot devices control
• Millikelvin temperature cryo-CMOS multiplexer for scalable quantum device characterisation
• qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package
• Towards a realistic GaAs-spin qubit device for a classical error-corrected quantum memory
• Memristor-based cryogenic programmable DC sources for scalable in-situ quantum-dot control
• Low-temperature environments for quantum computation and quantum simulation
• Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams