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Qubit Scalability Interest and QRAM

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⚡ Quantum Brief
A 2017 paper proposed a quantum von Neumann architecture using trapped ions, enabling scalable quantum computing with thousands of qubits. The design remains relevant, particularly for quantum RAM (QRAM) applications. Trapped-ion systems excel in QRAM due to physical qubit transport, allowing localized operations. This advantage contrasts with solid-state approaches like superconducting qubits, which lack mobility. Superconducting qubits face challenges in QRAM implementation, requiring longer coherence times and noise resilience—current weaknesses in the technology. Alternative methods remain under exploration. The discussion highlights the need for qubit "transport" solutions in solid-state systems. Research gaps persist in addressing memory access without physical movement. The post seeks recent papers on solid-state QRAM alternatives, emphasizing the ongoing debate between trapped-ion and superconducting architectures for scalable quantum computing.
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I have been wondering about the feasibility of replicating a Von Neumann architecture with a quantum computer. I recently read an interesting paper on the topic, "A Quantum von Neumann Architecture for Large-Scale Quantum Computing" (https://arxiv.org/pdf/1702.02583), and it proposes a means for this to happen with thousands of trapped ions. While it was written in 2017, I think there are many applicable considerations that have held up, including ideas related to quantum RAM. One thing I am curious about is whether superconducting quantum computers would be capable of having a "traditional" quantum RAM method, and if there are current methods to address that? For example, trapped ions it make a lot more sense due to the ability to physically transport the qubits and perform operations in localized sections of the device. However, solid-state quantum computing paradigms like sc qc do not have the option, and the alternatives (that I can think of at least) would require significantly increased coherence time and resilience to noise, which sc qubits are famously not very good at (yet). Does anyone have thoughts on this topic, or can they refer me to papers that address the issue of memory/qubit "transport" in solid-state quantum computing devices? submitted by /u/GreenEggs-12 [link] [comments]

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government-funding
partnership
quantum-computing
quantum-hardware
superconducting-qubits
trapped-ion

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Source: Reddit r/QuantumComputing (RSS)

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