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Amara Katabarwa

As seen in: Physical Review B
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Articles

Early Fault-Tolerant Quantum Computing

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By Amara Katabarwa, Peter Johnson, Katerina Gratsea, Athena Caesura
| Physical Review B
Popular Summary Quantum computers promise to solve problems too complex for today’s most powerful computers. However, realizing this potential requires overcoming significant challenges. One key challenge is navigating the transition from today’s small-scale, error-prone quantum computers to the large-scale, fault-tolerant quantum computers of the future.
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Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer

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By Manuel S. Rudolph, Ntwali Toussaint, Amara Katabarwa, Sonika Johri
| Physical Review B
Abstract Generating high-quality data (e.g., images or video) is one of the most exciting and challenging frontiers in unsupervised machine learning. Utilizing quantum computers in such tasks to potentially enhance conventional machine-learning algorithms has emerged as a promising application but poses big challenges due to the limited number of qubits and the level of gate noise in available devices.
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[2012.03924] Generation of High Resolution Handwritten Digits with an Ion-Trap Quantum Computer

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By Ntwali Toussaint, Ntwali Toussaint Bashige, Amara Katabarwa, Sonika Johr
| arXiv
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