Dynamically Reconfigurable Photon Exchange in a Superconducting Quantum Processor
Brian Marinelli, Jie Luo, Hengjiang Ren, Bethany M. Niedzielski, David, K. Kim, Rabindra Das, Mollie Schwartz, David I. Santiago, and Irfan Siddiqi

TL;DR
This paper introduces a reconfigurable photon exchange network embedded in a superconducting quantum processor, enabling long-range, high-fidelity qubit interactions and paving the way for scalable, modular quantum computing.
Contribution
It presents a novel on-chip photonic network that achieves reconfigurable, long-range qubit connectivity in a superconducting quantum processor, enhancing scalability.
Findings
Achieved photon exchange rates up to 2π × 0.9 MHz.
Demonstrated long-range qubit interactions over 9.2 cm.
Enabled reconfigurable qubit connectivity graph.
Abstract
Realizing the advantages of quantum computation requires access to the full Hilbert space of states of many quantum bits (qubits). Thus, large-scale quantum computation faces the challenge of efficiently generating entanglement between many qubits. In systems with a limited number of direct connections between qubits, entanglement between non-nearest neighbor qubits is generated by a series of nearest neighbor gates, which exponentially suppresses the resulting fidelity. Here we propose and demonstrate a novel, on-chip photon exchange network. This photonic network is embedded in a superconducting quantum processor (QPU) to implement an arbitrarily reconfigurable qubit connectivity graph. We show long-range qubit-qubit interactions between qubits with a maximum spatial separation of along a meandered bus resonator and achieve photon exchange rates up to $g_{\text{qq}} =…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
