1 citations · 1 across the 6 of their papers we have counts for
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Loss-tolerant distributed lattice surgery using fusion networks
Felix Burt, Richard Meister, Sheng-Ku Lin +5
Networking matter-based quantum processing units (QPUs) offers a promising route to scaling fault-tolerant quantum computers. This requires distributed logical operations to be per…
The trainability of photonic quantum circuits
Alexander Makarovskiy, Adam Taylor, Zhenghao Li +5
Variational quantum algorithms are a leading approach to near-term quantum computing, but their scalability can be limited by barren plateaus and the sampling cost of resolving sma…
Optimal Quantum Information Transmission Under a Continuous-Variable Erasure Channel
Adam Taylor, Michael Hanks, Hyukjoon Kwon +1
Quantum capacity gives the fundamental limit of information transmission through a channel. However, evaluating the quantum capacities of a continuous-variable bosonic quantum chan…
Use of Faulty States in Cat-Code Error Correction
Michael Hanks, Soovin Lee, Nicolo Lo Piparo +4
Bosonic codes have seen a resurgence in interest for applications as varied as fault tolerant quantum architectures, quantum enhanced sensing, and entanglement distribution. Cat co…
Reshaping quantum device noise via repetition code circuits
Yue Ma, Michael Hanks, Evdokia Gneusheva +1
Noise of a quantum processor can be an important resource for simulating open quantum dynamics. However, this requires characterizing the device noise and then transforming it into…
Purification and correction of quantum channels by commutation-derived quantum filters
Sowmitra Das, Jinzhao Sun, Michael Hanks +2
Reducing errors is essential for reliable quantum computation. Quantum error mitigation (QEM) and quantum error correction (QEC) are two leading approaches for this task, each with…
Noise-tailored Constructions for Spin Wigner Function Kernels
Michael Hanks, Soovin Lee, M. S. Kim
The effective use of noisy intermediate-scale quantum devices requires error mitigation to improve the accuracy of sampled measurement distributions. The more accurately the effect…