Recent Advances in Quantum Microprocessor

Dear Colleagues,

Quantum algorithms can solve high-efficiency problems more effectively than traditional classic algorithms. However, their efficiency is only possible if they run on specific hardware and not by emulating the quantum mechanics laws on which these algorithms are based. Today, the quantum computing community suffers from the unavailability of quantum microprocessors. Indeed, qubit arrays may be integrated via a chip, but the controlling signals are generated externally; the resulting hardware includes a significant bundle of microwave cables that connect qubits to several different instruments, strangely evoking the dawn of the first electronic computers. Several endeavors have addressed the different physical implementations of the qubit, exploiting electron spin, superconductor resonators, electrical charge, or photons, in order to find the best approach for a scalable, solid-state quantum microprocessor in which qubits and classic electronics are co-integrated on the same chip for control and read-out purposes.

The present Special Issue focuses on hardware for future quantum microprocessors. As it was for early electronic computers, research activity on this topic is strongly interdisciplinary. With the idea in mind of going beyond the dichotomy between applied and fundamental research, the scope of this Special Issue is to collect in one single issue technical contributions from microelectronics and integrated optics with more fundamental contributions from solid-state physics and quantum mechanics theory. The Special Issue covers but is not limited to the following topics:

• Architectures for quantum microprocessors;
• Cryogenic microelectronics for quantum computing;
• Integrated optics for quantum computing;
• Quantum mechanics for quantum algorithms;
• Physical implementations and characterization of qubits;
• Behavioral and/or physical modeling of qubits;
• Cryogenic modeling of microelectronic devices.

Dr. Mattia Borgarino
Guest Editor

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• architecture
• RFIC
• silicon photonics
• quantum mechanics
• qubit physics
• modeling