Quantum computing needs the right combination of order and disorder

Quantum computing needs the right combination of order and disorder

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Experimental parameters of recent IBM transmon arrays. a) Layout of the 65-qubit transmon array “Brooklyn”, currently available in IBM’s quantum cloud (https://www.ibm.com/quantum-computing/systems/), in a heavy-hexagon geometry. The coloring of the qubits indicates the variation of Josephson energies EJ which is largely uncorrelated in space. b) Spread of the EJ plotted for the “Brooklyn” chip, consistent with a Gaussian distribution (solid line). Similar levels of disorder and distributions are found in all transmon devices available in IBM’s quantum cloud. c) Variance of the measured Josephson energies, δEJ, for nine realizations of the 27-qubit “Falcon” design, and two realizations of the 65-qubit “Hummingbird” design. Credit: Nature Communications (2022). DOI: 10.1038/s41467-022-29940-y

Research conducted within the Cluster of Excellence “Matter and Light for Quantum Computing” (ML4Q) has analyzed cutting-edge device structures of quantum computers to demonstrate that some of them are indeed operating dangerously close to a threshold of chaotic meltdown. The challenge is to walk a thin line between too high, but also too low disorder to safeguard device operation. The study has been published today in Nature Communications.

In the race for what may become a key future technology, tech giants like IBM and Google are investing enormous resources into the development of quantum computing hardware. However, current platforms are not yet ready for practical applications. There remain multiple challenges, among them the control of device imperfections (“disorder”).

It’s an old stability precaution: When large groups of people cross bridges, they need to avoid marching in step to prevent the formation of resonances destabilizing the construction. Perhaps counterintuitively, the superconducting transmon qubit processor—a technologically advanced platform for quantum computing favored by IBM, Google, and other consortia—relies on the same principle: intentionally introduced disorder blocks the formation of resonant chaotic fluctuations, thus becoming an essential part of the production of multi-qubit processors.

To understand this seemingly paradoxical point, one should think of a transmon qubit as a kind of pendulum. Qubits interlinked to form a computing structure define a system of coupled pendulums—a system that, like classical pendulums, can easily be excited to uncontrollably large oscillations with disastrous consequences. In the quantum world, such uncontrollable oscillations lead to the destruction of quantum information; the computer becomes unusable. Intentionally introduced local ‘detunings’ of single pendulums keep such phenomena at bay.

“The transmon chip not only tolerates but actually requires effectively random qubit-to-qubit device imperfections,” explained Christoph Berke, final-year doctoral student in the group of Simon Trebst at the University of Cologne and first author of the paper. “In our study, we ask just how reliable the ‘stability by randomness’ principle is in practice. By applying state-of-the-art diagnostics of the theory of disordered systems, we were able to find that at least some of the industrially pursued system architectures are dangerously close to instability.”

From the point of view of fundamental quantum physics, a transmon processor is a many-body quantum system with quantized energy levels. State-of-the-art numerical tools allow one to compute these discrete levels as a function of relevant system parameters, to obtain patterns superficially resembling a tangle of cooked spaghetti. A careful analysis of such structures for realistically modeled Google and IBM chips was one out of several diagnostic tools applied in the paper to map out a stability diagram for transmon quantum computing.

“When we compared the Google to the IBM chips, we found that in the latter case qubit states may be coupled to a degree that controlled gate operations may be compromised,” said Simon Trebst, head of the Computational Condensed Matter Physics group at the University of Cologne. In order to secure controlled gate operations, one thus needs to strike the subtle balance between stabilizing qubit integrity and enabling inter-qubit coupling. In the parlance of pasta preparation, one needs to prepare the quantum computer processor into perfection, keeping the energy states ‘al dente’ and avoiding their tangling by overcooking.

The study of disorder in transmon hardware was performed as part of the Cluster of Excellence ML4Q in a collaborative work among the research groups of Simon Trebst and Alexander Altland at the University of Cologne and the group of David DiVincenzo at RWTH Aachen University and Forschungszentrum Jülich. “This collaborative project is quite unique,” says Alexander Altland from the Institute for Theoretical Physics in Cologne. “Our complementary knowledge of transmon hardware, numerical simulation of complex many-body systems, and quantum chaos was the perfect prerequisite to understand how quantum information with disorder can be protected. It also indicates how insights obtained for small reference systems can be transferred to application-relevant design scales.”

David DiVincenzo, founding director of the JARA-Institute for Quantum Information at RWTH Aachen University, draws the following conclusion: “Our study demonstrates how important it is for hardware developers to combine device modeling with state-of-the-art quantum randomness methodology and to integrate ‘chaos diagnostics’ as a routine part of qubit processor design in the  superconducting platform.”


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More information:
Christoph Berke et al, Transmon platform for quantum computing challenged by chaotic fluctuations, Nature Communications (2022). DOI: 10.1038/s41467-022-29940-y

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University of Cologne

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In balance: Quantum computing needs the right combination of order and disorder (2022, May 6)
retrieved 6 May 2022
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