Resource-efficient simulation of noisy quantum circuits and application to network-enabled QRAM optimization

• URL: http://arxiv.org/abs/2210.13494v2
• Date: Mon, 4 Dec 2023 10:33:55 GMT
• Title: Resource-efficient simulation of noisy quantum circuits and application to network-enabled QRAM optimization
• Authors: Lu\'is Bugalho, Emmanuel Zambrini Cruzeiro, Kevin C. Chen, Wenhan Dai, Dirk Englund and Yasser Omar
• Abstract summary: We introduce a resource-efficient method for simulating large-scale noisy entanglement. We analyze Chen et al.'s network-based QRAM as an application at the scale of quantum data centers or near-term quantum internet.
• Score: 0.7107001348724662
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Giovannetti, Lloyd, and Maccone [Phys. Rev. Lett. 100, 160501] proposed a quantum random access memory (QRAM) architecture to retrieve arbitrary superpositions of $N$ (quantum) memory cells via $O(\log(N))$ quantum switches and $O(\log(N))$ address qubits. Towards physical QRAM implementations, Chen et al. [PRX Quantum 2, 030319] recently showed that QRAM maps natively onto optically connected quantum networks with $O(\log(N))$ overhead and built-in error detection. However, modeling QRAM on large networks has been stymied by exponentially rising classical compute requirements. Here, we address this bottleneck by: (i) introducing a resource-efficient method for simulating large-scale noisy entanglement, allowing us to evaluate hundreds and even thousands of qubits under various noise channels; and (ii) analyzing Chen et al.'s network-based QRAM as an application at the scale of quantum data centers or near-term quantum internet; and (iii) introducing a modified network-based QRAM architecture to improve quantum fidelity and access rate. We conclude that network-based QRAM could be built with existing or near-term technologies leveraging photonic integrated circuits and atomic or atom-like quantum memories.

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