activity
20152026
most citedQuantum Boltzmann Machine

360 citations · 567 across the 15 of their papers we have counts for

collaborators

15 papers

quant-ph2026

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…

quant-ph2025

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…

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★ 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…