Superconducting Circuit Architecture for Digital-Analog Quantum Computing

Abstract

We propose a superconducting circuit architecture suitable for digital-analog quantum computing (DAQC) based on an enhanced NISQ family of nearest-neighbor interactions. DAQC makes a smart use of digital steps (single qubit rotations) and analog blocks (parametrized multiqubit operations) to outperform digital quantum computing algorithms. Our design comprises a chain of superconducting charge qubits coupled by superconducting quantum interference devices (SQUIDs). Using magnetic flux control, we can activate/deactivate exchange interactions, double excitation/de-excitations, and others. As a paradigmatic example, we present an efficient simulation of an $\ell \times h$ fermion lattice (with $2<\ell \le h$), using only $2(2\ell +1{)}^2+24$ analog blocks. The proposed architecture design is feasible in current experimental setups for quantum computing with superconducting circuits, opening the door to useful quantum advantage with fewer resources.

8+15 pages, 16 figures

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Cited by in corpus (10)

• Mitigating noise in digital and digital-analog quantum computation
• Digital-analog quantum simulation of fermionic models
• Optimal, hardware native decomposition of parameterized multi-qubit Pauli gates
• Digital-analog quantum computing of fermion-boson models in superconducting circuits
• Digital-analog quantum convolutional neural networks for image classification
• Microwave Quantum Memcapacitor Effect
• Digital-Analog Counterdiabatic Quantum Optimization with Trapped Ions
• Enhancing Quantum Annealing in Digital-Analog Quantum Computing
• Benchmarking Digital-Analog Quantum Computation
• Neutral atom entangling gate in the ultrastrong coupling regime