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20152026
most citedDeep neural decoders for near term fault-tolerant experiments

85 citations · 303 across the 34 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

quant-ph2024

Optimization of Two-Qubit Gates in Tunable-Coupler Architectures Using Single Flux Quantum Control

Boyan Torosov, Bohdan Kulchytskyy, Florian Hopfmueller +3

We present a gradient-based method to construct high-fidelity, two-qubit quantum gates in a system consisting of two transmon qubits coupled via a tunable coupler. In particular, w…

quant-ph2024★ 7 cited

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

Masoud Mohseni, Artur Scherer, K. Grace Johnson +48

In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become po…

quant-ph2024

Optimizing Multi-level Magic State Factories for Fault-Tolerant Quantum Architectures

Allyson Silva, Artur Scherer, Zak Webb +11

We propose a novel technique for optimizing a modular fault-tolerant quantum computing architecture, taking into account any desired space-time trade-offs between the number of phy…

quant-ph2024

Optimizing Pulse Shapes of an Echoed Conditional Displacement Gate in a Superconducting Bosonic System

Maxime Lapointe-Major, Yongchao Tang, Mehmet Canturk +1

Echoed conditional displacement (ECD) gates for bosonic systems have become the key element for real-time quantum error correction beyond the break-even point. These gates are char…

quant-ph2024★ 1 cited

Multi-qubit Lattice Surgery Scheduling

Allyson Silva, Xiangyi Zhang, Zak Webb +7

Fault-tolerant quantum computation using two-dimensional topological quantum error correcting codes can benefit from multi-qubit long-range operations. By using simple commutation…

quant-ph2024★ 1 cited

Bootstrapping Classical Shadows for Neural Quantum State Tomography

Wirawat Kokaew, Bohdan Kulchytskyy, Shunji Matsuura +1

We investigate the advantages of using autoregressive neural quantum states as ansatze for classical shadow tomography to improve its predictive power. We introduce a novel estimat…