Control and readout of a superconducting qubit using a photonic link

Lecocq, Florent; Quinlan, Franklyn; Cicak, Katarina; Aumentado, José; Diddams, Scott A.; Teufel, John

doi:10.1038/s41586-021-03268-x

Cited by 111 publications

(55 citation statements)

References 50 publications

(50 reference statements)

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“…With this setup, a direct comparison of qubit performance with both control schemes is possible during the same cooldown. This qubit was measured for a previous publication; for other circuit quantum electrodynamics parameters see [32].…”

Section: Methodsmentioning

confidence: 99%

Digital control of a superconducting qubit using a Josephson pulse generator at 3 K

Howe¹,

Castellanos-Beltran²,

Sirois³

et al. 2021

Preprint

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Scaling of quantum computers to fault-tolerant levels relies critically on the integration of energyefficient, stable, and reproducible qubit control and readout electronics. In comparison to traditional semiconductor control electronics (TSCE) located at room temperature, the signals generated by Josephson junction (JJ) based rf sources benefit from small device sizes, low power dissipation, intrinsic calibration, superior reproducibility, and insensitivity to ambient fluctuations. Previous experiments to co-locate qubits and JJ-based control electronics resulted in quasiparticle poisoning of the qubit; degrading the qubit's coherence and lifetime. In this paper, we digitally control a 0.01 K transmon qubit with pulses from a Josephson pulse generator (JPG) located at the 3 K stage of a dilution refrigerator. We directly compare the qubit lifetime T1, coherence time T * 2 , and thermal occupation P th when the qubit is controlled by the JPG circuit versus the TSCE setup. We find agreement to within the daily fluctuations on ±0.5 µs and ±2 µs for T1 and T * 2 , respectively, and agreement to within the 1% error for P th . Additionally, we perform randomized benchmarking to measure an average JPG gate error of 2.1 × 10 −2 . In combination with a small device size (< 25 mm 2 ) and low on-chip power dissipation ( 100 µW), these results are an important step towards demonstrating the viability of using JJ-based control electronics located at temperature stages higher than the mixing chamber stage in highly-scaled superconducting quantum information systems.

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Section: Methodsmentioning

confidence: 99%

Digital control of a superconducting qubit using a Josephson pulse generator at 3 K

Howe¹,

Castellanos-Beltran²,

Sirois³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Scaling up the qubit number without increasing noise comes across many challenges: (1) SC qubits operate inside a dilution refrigerator (DR) around 10s of mK, requiring a coax cable feed-through each to address individual qubits. The number of coax lines that can go into a DR poses an important engineering challenge in the number of qubits that can exist and operate inside each DR. To overcome this challenge however, using optical fiber instead of coax cables and use of wavelength division multiplexing to address multiple qubits with each fiber feedthrough has been proposed [16]. (2) Placing many qubits in close proximity to each other can increase their connectivity, helpful for engineered qubit-qubit interactions.…”

Section: Introductionmentioning

confidence: 99%

Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation

LaRacuente¹,

Smith²,

Imany³

et al. 2022

Preprint

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A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributing a quantum computer across nearby small qubit arrays, known as chiplets, could solve many problems associated with size. We propose a chiplet architecture over microwave links with potential to exceed monolithic performance on near-term hardware. We model and evaluate the chiplet architecture in a way that bridges the physical and network layers. We find concrete evidence that distributed quantum computing may accelerate the path toward useful and ultimately scalable quantum computers. In the long-term, short-range networks may underlie quantum computers just as local area networks underlie classical datacenters and supercomputers today.

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“…Superconducting quantum computing has steady progress in gate and measurement fidelity 5 – 8 and IBM’s roadmap for scaling quantum technology 9 has been verified solidly so far 10 based on this technical route. However, the implementation of a practical architecture that can scale to millions of qubits and solve large-scale practical problems remains a challenging milestone 11 . Actually, superconducting quantum processors must be placed in a cryogenic environment to be initialized close to their quantum ground state.…”

Section: Introductionmentioning

confidence: 99%

A high-performance compilation strategy for multiplexing quantum control architecture

Shan

Zhu²,

Zhao

2022

Sci Rep

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Quantum computers have already shown significant potential to solve specific problems more efficiently than conventional supercomputers. A major challenge towards noisy intermediate-scale quantum computing is characterizing and reducing the various control costs. Quantum programming describes the process of quantum computation as a sequence, whose elements are selected from a finite set of universal quantum gates. Quantum compilation translates quantum programs to ordered pulses to the quantum control devices subsequently and quantum compilation optimization provides a high-level solution to reduce the control cost efficiently. Here, we propose a high-performance compilation strategy for multiplexing quantum control architecture. For representative benchmarks, the utilization efficiency of control devices increased by 49.44% on average in our work, with an acceptable circuit depth expansion executing on several real superconducting quantum computers of IBM.

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Control and readout of a superconducting qubit using a photonic link

Cited by 111 publications

References 50 publications

Digital control of a superconducting qubit using a Josephson pulse generator at 3 K

Digital control of a superconducting qubit using a Josephson pulse generator at 3 K

Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation

A high-performance compilation strategy for multiplexing quantum control architecture

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