360 citations · 567 across the 15 of their papers we have counts for
12 papers · 1 filter
Quantum error correction of a grid-state qubit with state preparation and measurement errors below
Sara Turcotte, Lucas St-Jean, Amélie L. Pessonneaux +10
Grid state qubits offer a hardware-efficient approach to large-scale fault-tolerant quantum computing. They access the information redundancy required for quantum error correction…
Optimization of High-Fidelity Single-Qubit Gates for Fluxoniums Using Single-Flux Quantum Control
Maxime Lapointe-Major, Boyan Torosov, Bohdan Kulchytskyy +1
We present a gradient-based method to construct memory-efficient, high-fidelity, single-qubit gates for fluxonium qubits. These gates are constructed using a sequence of single-flu…
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…
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…
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…
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…
Compact Pulse Schedules for High-Fidelity Single-Flux Quantum Qubit Control
Ross Shillito, Florian Hopfmueller, Bohdan Kulchytskyy +1
In the traditional approach to controlling superconducting qubits using microwave pulses, the field of pulse shaping has emerged in order to assist in the removal of leakage and in…
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
Victor Yon, Frédéric Marcotte, Pierre-Antoine Mouny +6
Neural decoders for quantum error correction (QEC) rely on neural networks to classify syndromes extracted from error correction codes and find appropriate recovery operators to pr…
Neural Error Mitigation of Near-Term Quantum Simulations
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy +2
Near-term quantum computers provide a promising platform for finding ground states of quantum systems, which is an essential task in physics, chemistry, and materials science. Near…
The learnability scaling of quantum states: restricted Boltzmann machines
Dan Sehayek, Anna Golubeva, Michael S. Albergo +3
Generative modeling with machine learning has provided a new perspective on the data-driven task of reconstructing quantum states from a set of qubit measurements. As increasingly…
QuCumber: wavefunction reconstruction with neural networks
Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva +6
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter…
Quantum Boltzmann Machine
Mohammad H. Amin, Evgeny Andriyash, Jason Rolfe +2
Inspired by the success of Boltzmann Machines based on classical Boltzmann distribution, we propose a new machine learning approach based on quantum Boltzmann distribution of a tra…