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Pipeline quantum processor architecture for silicon spin qubits

S. M. Patomäki, M. Fernando González-Zalba, M. A. Fogarty, Zhenyu Cai, Simon C. Benjamin, John J. L. Morton

2024npj Quantum Information10 citationsDOIOpen Access PDF

Abstract

Abstract We propose a quantum processor architecture, the qubit ‘pipeline’, in which run-time scales additively as functions of circuit depth and run repetitions. Run-time control is applied globally, reducing the complexity of control and interconnect resources. This simplification is achieved by shuttling N -qubit states through a large layered physical array of structures which realise quantum logic gates in stages. Thus, the circuit depth corresponds to the number of layers of structures. Subsequent N -qubit states are ‘pipelined’ densely through the structures to efficiently wield the physical resources for repeated runs. Pipelining thus lends itself to noisy intermediate-scale quantum (NISQ) applications, such as variational quantum eigensolvers, which require numerous repetitions of the same or similar calculations. We illustrate the architecture by describing a realisation in the naturally high-density and scalable silicon spin qubit platform, which includes a universal gate set of sufficient fidelity under realistic assumptions of qubit variability.

Topics & Concepts

QubitPipeline (software)Quantum computerComputer scienceArchitectureQuantumPhysicsQuantum mechanicsOperating systemHistoryArchaeologyQuantum Computing Algorithms and ArchitectureQuantum and electron transport phenomenaQuantum-Dot Cellular Automata
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