Progress Towards Quantum Simulation with Engineered Dissipation in a Mixed-Isotope Yb<sup>+</sup> Chain
ORAL
Abstract
Heating of low-frequency axial modes presents a significant impediment to scaling up quantum computing and simulation based on long ion chains [1]. Sympathetic cooling offers a promising solution but requires optimal mode balance to ensure its effectiveness. Sympathetic cooling also provides controlled non-unitary dynamics, allowing more complex simulations using the available qubits.
We address both of these goals by cooling 171Yb+ ion qubits using 172Yb+ in a long ion chain. We present progress in optimizing cooling procedures to mitigate both axial heating and recoil-induced radial heating. Beyond suppressing heating effects, we demonstrate how controlled sympathetic cooling facilitates qubit reset in a long chain. Additionally, we explore using our sympathetic cooling scheme to engineer dissipation in simulations of non-equilibrium phenomena in quantum systems. Our work paves the way to scaling up high-fidelity circuit-based computing and open-quantum-system simulation using long ion chains.
We address both of these goals by cooling 171Yb+ ion qubits using 172Yb+ in a long ion chain. We present progress in optimizing cooling procedures to mitigate both axial heating and recoil-induced radial heating. Beyond suppressing heating effects, we demonstrate how controlled sympathetic cooling facilitates qubit reset in a long chain. Additionally, we explore using our sympathetic cooling scheme to engineer dissipation in simulations of non-equilibrium phenomena in quantum systems. Our work paves the way to scaling up high-fidelity circuit-based computing and open-quantum-system simulation using long ion chains.
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Publication: [1] M. Cetina et.al., PRX QUANTUM 3, 010334 (2022).
Presenters
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Tianyi Wang
Duke University
Authors
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Tianyi Wang
Duke University
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Qiang Miao
Duke University
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Andrew Van Horn
Duke University
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Marko Cetina
Duke University